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  • How do I calculate clock speed in multi-core processors?

    - by NReilingh
    Is it correct to say, for example, that a processor with four cores each running at 3GHz is in fact a processor running at 12GHz? I once got into a "Mac vs. PC" argument (which by the way is NOT the focus of this topic... that was back in middle school) with an acquaintance who insisted that Macs were only being advertised as 1Ghz machines because they were dual-processor G4s each running at 500MHz. At the time I knew this to be hogwash for reasons I think are apparent to most people, but I just saw a comment on this website to the effect of "6 cores x 0.2GHz = 1.2Ghz" and that got me thinking again about whether there's a real answer to this. So, this is a more-or-less philosophical/deep technical question about the semantics of clock speed calculation. I see two possibilities: Each core is in fact doing x calculations per second, thus the total number of calculations is x(cores). Clock speed is rather a count of the number of cycles the processor goes through in the space of a second, so as long as all cores are running at the same speed, the speed of each clock cycle stays the same no matter how many cores exist. In other words, Hz = (core1Hz+core2Hz+...)/cores.

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  • Search selected text in Firefox

    - by Jeremy Rudd
    What are the different Firefox extensions that can start a search with the selected text? Firefox has an inbuilt feature to search using the currently selected engine. Select any text Right click the selection Search Google for ... I'm looking for something that will let me choose which search engine I want to search with, from my current list of installed search engines.

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  • Single page not appearing in Google Search

    - by Dan
    Description I have a static franchise website which has various sub pages each dedicated to an individual franchisee. For each franchisee the page, the only thing slightly similar between all of them are the page titles, they follow this structure: <title> Welcome to THE_COMPANY - PRODUCT_DESCRIPTION Services, THE_LOCATION </title> THE_COMPANY and PRODUCT_DESCRIPTION are the same across all franchisees, however THE_LOCATION changes depeding on where they are located in the UK. Each franchisee page has the following <meta /> tags: <meta name="DC.creator" content="user"/> <meta name="DC.format" content="text/html"/> <meta name="DC.language" content="en"/> <meta name="DC.date.modified" content="2014-01-23T11:22:31+00:00"/> <meta name="DC.date.created" content="2014-01-23T11:22:09+00:00"/> <meta name="DC.type" content="Page"/> <meta name="DC.distribution" content="Global"/> <meta name="robots" content="ALL"/> <meta name="distribution" content="Global"/> The main content on each franchisee page is completely different. The Problem There is one particular franchisee page, located in Area A.. Which will not appear in Google Search results at all. However every single other franchisee (if you Google Search for "THE_COMPANY, THE_LOCATION" is number 1). And if I do the same search on Bing, Yahoo or DuckDuckGo, the Area A franchisee is the first result on all of them. Has Google for some reason black listed one page on the site? What I Have Tried Ensuring the page is referenced in my sitemap.xml file 'Fetching as Google Bot' the link www.the_company.co.uk/areaa When that came back as OK I would submit to index Resubmitting the sitemap.xml file in Webmaster Tools Linking to the Area A page from another pages content For this I also waited about 3 weeks before checking again to give Google time to re-index Making a change to the page content and waiting another 2 / 3 weeks Removing the page completely and recreating it with an alternative URL The closest thing I have found to this issue is this StackOverflow question but this particular franchisee has existed for almost a year, it used to appear on Google searches however no longer does. I'm guessing the Panda update wasn't too happy with something on the page, but it hasn't effected anything else on the site and I am at a loss for things to try. I would greatly appreciate any information or thoughts as to what could have caused this Thanks. Update In line with Daniel Fukudas answer below, I have followed some of his steps but everything seems to check out alright: HTTP Headers HTTP/1.1 200 OK => Date => Tue, 25 Feb 2014 16:31:29 GMT Server => Zope/(2.12.16, python 2.6.6, linux2) ZServer/1.1 Content-Length => 40078 Expires => Sat, 01 Jan 2000 00:00:00 GMT Content-Type => text/html;charset=utf-8 Content-Language => en Vary => Accept-Encoding Connection => close Robots <meta /> tag: <meta name="robots" content="ALL"/> I have updated this <meta /> tag to read content="INDEX" instead now. robots.txt: User-agent: * Disallow: User-Agent: Googlebot Disallow: /*sendto_form$ Disallow: /*folder_factories$ Using site:THE_COMPANY.co.uk: Searching for 'AREA A site:THE_COMPANY.co.uk' does not return the page, but regardless of that searching just for site:THE_COMPANY.co.uk will not necessarily return every indexed page, or so I understand... Update It appears Google likes to drop pages every now and then from the index, despite my steps above, I left the site alone and the page appeared back in the SERPs by itself.

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  • Consumer Oriented Search In Oracle Endeca Information Discovery – Part 1

    - by Bob Zurek
    Information Discovery, a core capability of Oracle Endeca Information Discovery, enables business users to rapidly search, discover and navigate through a wide variety of big data including structured, unstructured and semi-structured data. One of the key capabilities, among many, that differentiate our solution from others in the Information Discovery market is our deep support for search across this growing amount of varied big data. Our method and approach is very different than classic simple keyword search that is found in may information discovery solutions. In this first part of a series on the topic of search, I will walk you through many of the key capabilities that go beyond the simple search box that you might experience in products where search was clearly an afterthought or attempt to catch up to our core capabilities in this area. Lets explore. The core data management solution of Oracle Endeca Information Discovery is the Endeca Server, a hybrid search-analytical database that his highly scalable and column-oriented in nature. We will talk in more technical detail about the capabilities of the Endeca Server in future blog posts as this post is intended to give you a feel for the deep search capabilities that are an integral part of the Endeca Server. The Endeca Server provides best-of-breed search features aw well as a new class of features that are the first to be designed around the requirement to bridge structured, semi-structured and unstructured big data. Some of the key features of search include type a heads, automatic alphanumeric spell corrections, positional search, Booleans, wildcarding, natural language, and category search and query classification dialogs. This is just a subset of the advanced search capabilities found in Oracle Endeca Information Discovery. Search is an important feature that makes it possible for business users to explore on the diverse data sets the Endeca Server can hold at any one time. The search capabilities in the Endeca server differ from other Information Discovery products with simple “search boxes” in the following ways: The Endeca Server Supports Exploratory Search.  Enterprise data frequently requires the user to explore content through an ad hoc dialog, with guidance that helps them succeed. This has implications for how to design search features. Traditional search doesn’t assume a dialog, and so it uses relevance ranking to get its best guess to the top of the results list. It calculates many relevance factors for each query, like word frequency, distance, and meaning, and then reduces those many factors to a single score based on a proprietary “black box” formula. But how can a business users, searching, act on the information that the document is say only 38.1% relevant? In contrast, exploratory search gives users the opportunity to clarify what is relevant to them through refinements and summaries. This approach has received consumer endorsement through popular ecommerce sites where guided navigation across a broad range of products has helped consumers better discover choices that meet their, sometimes undetermined requirements. This same model exists in Oracle Endeca Information Discovery. In fact, the Endeca Server powers many of the most popular e-commerce sites in the world. The Endeca Server Supports Cascading Relevance. Traditional approaches of search reduce many relevance weights to a single score. This means that if a result with a good title match gets a similar score to one with an exact phrase match, they’ll appear next to each other in a list. But a user can’t deduce from their score why each got it’s ranking, even though that information could be valuable. Oracle Endeca Information Discovery takes a different approach. The Endeca Server stratifies results by a primary relevance strategy, and then breaks ties within a strata by ordering them with a secondary strategy, and so on. Application managers get the explicit means to compose these strategies based on their knowledge of their own domain. This approach gives both business users and managers a deterministic way to set and understand relevance. Now that you have an understanding of two of the core search capabilities in Oracle Endeca Information Discovery, our next blog post on this topic will discuss more advanced features including set search, second-order relevance as well as an understanding of faceted search mechanisms that include queries and filters.  

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  • How to target just one search engine and optimise for that

    - by mickburkejnr
    I've been dabbling with SEO a lot in the last 6 months, and one thing that has surprised me is the disparity between Google and Bing in the way they deliver results. A website ranked for a specific keyword/phrase on Google may rank 3rd on the first page, but using the same keyword/phrase on Bing will display the same website but ranked 15th for the exact same keyword/phrase. I came up with the idea to increase traffic to my website by targetting Bing instead of Google for several reasons. The biggest one is that while it's not the biggest search provider, people still use it, and I feel that if other websites have been "neglected" and not optimised for Bing my website would stand a better chance of getting near the top of their search rankings. The question is though how would I do this? A lot of the SEO advice on the internet is generic, but I can't help feeling it's Google orientated for obvious reasons. How could I optimise my website to be Bing friendly, rather than Google friendly? I know it sounds like suicide as I'm taking myself out of the Google mindset, but I feel it could work wonders for traffic to the site.

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  • SearchServer2008Express Search Webservice

    - by Mike Koerner
    I was working on calling the Search Server 2008 Express search webservice from Powershell.  I kept getting <ResponsePacket xmlns="urn:Microsoft.Search.Response"><Response domain=""><Status>ERROR_NO_RESPONSE</Status><DebugErrorMessage>The search request was unable to connect to the Search Service.</DebugErrorMessage></Response></ResponsePacket>I checked the user authorization, the webservice search status, even the WSDL.  Turns out the URL for the SearchServer2008 search webservice was incorrect.  I was calling $URI= "http://ss2008/_vti_bin/spsearch.asmx?WSDL"and it should have been$URI= "http://ss2008/_vti_bin/search.asmx?WSDL"Here is my sample powershell script:# WSS Documentation http://msdn.microsoft.com/en-us/library/bb862916.aspx$error.clear()#Bad SearchServer2008Express Search URL $URI= "http://ss2008/_vti_bin/spsearch.asmx?WSDL"#Good SearchServer2008Express Search URL $URI= "http://ss2008/_vti_bin/search.asmx?WSDL"$search = New-WebServiceProxy -uri $URI -namespace WSS -class Search -UseDefaultCredential $queryXml = "<QueryPacket Revision='1000'>  <Query >    <SupportedFormats>      <Format revision='1'>urn:Microsoft.Search.Response.Document.Document</Format>    </SupportedFormats>    <Context>      <QueryText language='en-US' type='MSSQLFT'>SELECT Title, Path, Description, Write, Rank, Size FROM Scope() WHERE CONTAINS('Microsoft')</QueryText>      <!--<QueryText language='en-US' type='TEXT'>Microsoft</QueryText> -->    </Context>  </Query></QueryPacket>" $statusResponse = $search.Status()write-host '$statusResponse:'  $statusResponse $GetPortalSearchInfo = $search.GetPortalSearchInfo()write-host '$GetPortalSearchInfo:'  $GetPortalSearchInfo $queryResult = $search.Query($queryXml)write-host '$queryResult:'  $queryResult

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  • SEO and external sites that serve responsive images (like Re-SRC)

    - by Baumr
    Re-SRC is a tool that allows you to automatically serve responsive images for your website from their cloud servers. It delivers a new image file each time the browser window (viewport) is resized. To use it in your HTML when linking to an image, you would do the following: <img src="http://app.resrc.it//www.your-domain.com/img/img001.jpg"/> Some more background for SEO considerations: As an example, looking at their demo page's code, the src of the Arc de Triomphe photo — when the browser window is resized to be at a tablet-width — shows this particular file at it's widest. It is found under the following URL: http://app4-uk.resrc.it/s=w560,pd1/ro=h//www.resrc.it/img/demo/demo-image-1.jpg If the viewport is increased to desktop-width, then a smaller image is served in line with the design; see this URL: http://app4-uk.resrc.it/s=w320,pd1/ro=h//www.resrc.it/img/demo/demo-image-1.jpg If I change the viewport to be about half-way between those two, then the image's URL is: http://app4-uk.resrc.it/s=w240,pd1/ro=h//www.resrc.it/img/demo/demo-image-1.jpg In other words, I found that there is a separate file for every 10-pixel increment of the image width. Very cool for saving bandwidth on mobile devices and service responsive/retina images on others, but... Here are two problems I see for SEO: The img on your site, part of your semantic markup, will not be hosted on your site at all, or even a server you control. Any links to these images will pass on "link juice" to Re-SRC's site instead. You are serving a vast array of different image files to different people — some may link to one, others to another size. Then there's the question of what different search engine crawlers will see. Also: There seems to be no fallback option if their servers are down. Do you see any other concerns? Or, perhaps, do you not see those as concerns?

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  • Multi-touch capabilities for Ubuntu 12.04? How can I configure the system to support it?

    - by dd dong
    I installed Ubuntu 13.10, it supports default multi-touch perfectly! I need Ubuntu 12.04, however, it does not appear to support multi-touch features. I write a touch test program, it supports touch and mouseMove at the same time, but I just need touch function. I know we can set the device to grab bits. But how can I configure the system to support it? It gives me an error when I try to use multi-touch.

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  • Search multiple tables

    - by gilden
    I have developed a web application that is used mainly for archiving all sorts of textual material (documents, references to articles, books, magazines etc.). There can be any given number of archive tables in my system, each with its own schema. The schema can be changed by a moderator through the application (imagine something similar to a really dumbed down version of phpMyAdmin). Users can search for anything from all of the tables. By using FULLTEXT indexes together with substring searching (fields which do not support FULLTEXT indexing) the script inserts the results of a search to a single table and by ordering these results by the similarity measure I can fairly easily return the paginated results. However, this approach has a few problems: substring searching can only count exact results the 50% rule applies to all tables separately and thus, mysql may not return important matches or too naively discards common words. is quite expensive in terms of query numbers and execution time (not an issue right now as there's not a lot of data yet in the tables). normalized data is not even searched for (I have different tables for categories, languages and file attatchments). My planned solution Create a single table having columns similar to id, table_id, row_id, data Every time a new row is created/modified/deleted in any of the data tables this central table also gets updated with the data column containing a concatenation of all the fields in a row. I could then create a single index for Sphinx and use it for doing searches instead. Are there any more efficient solutions or best practises how to approach this? Thanks.

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  • Subdomain takes the position of main site in Google search result

    - by user3578586
    We have one domain and one sub-domain. Until last week both of them appear in first page of Google search for very important keyword. Unfortunately Google dropped our main domain from search results. our main site has been in first page for 5 years! About one year ago we build this sub-domain. It simply has been redirected to one of pages of main domain. For solving problem we upload a independent site for sub-domain because we guessed that Google think this is our main page of our site. But problem did not solved. What should we do? our main site offer main services and we we want that will be on first page. Shout down sub-domain? Redirect to main site? Put the link of our main site in sub-domain? (About one year ago we put link of this sub-domain to our main site. Google indexed it and continuously bring that to top.) changing in robots.txt ....

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  • Live search/filter as you type in client approach

    - by Pinoniq
    As an exercise for myself to practice my JavaScript "skills" I'm trying to write a client-side filter. It should be able to filter "content blocks" as the user types. By "content block", I mean a list of DomElements that each contain at least one text node - it is possible that they contain more, and even a different amount of text nodes, nested inside other nodes, etc. I've thought of 2 approaches: On page initialization, scan all nodes and store all the text in some kind of Map or a tree. Simply iterate over every item and check whether it has the string to search/filter for. One could add performance here by caching, only filtering the current remaining items if text is added, etc. Obviously, if the number of nodes is really big, option 1 will take a while to build the 'index' but it will perform faster once it is built. Option 2 however will be available right on page load since no initialization is performed. But of course it will take longer to search. So my question is: what is the best approach here? And how would one implement 'caching' and/or 'index'?

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  • boot.ini Issue - Multi-boot System, Linux, XP and XP64 - Missing File in system32 Message

    - by nicorellius
    I have an interesting issue that has me stumped. Not that I'm a computer whiz or anything. I have a multi-boot system with two hard drives: one drive has CentOS and Windows XP 64-bit and the other drive has Windows XP 32-bit. CentOS grub boot loader works great, and I have it set to default to Windows. But this is the problem. My boot.ini file seems to be in order, yet it still gives an error if I choose the default OS (which, consequently, is XP32): Windows could not start because the following file is missing or corrput: (Windows root) \system32\ntoskrnl.exe. Please re-install a copy of the above file. But if I choose the actual boot ID, i.e., toggle to the Windows XP Pro selection it boots just fine. In the boot.ini file, the entry for XP 32 is the samee: [boot loader] timeout=30 default=multi(0)disk(0)rdisk(0)partition(1)\WINDOWS="Windows XP Pro" /noexecute=optin /fastdetect /usepmtimer [operating systems] multi(0)disk(0)rdisk(0)partition(1)\WINDOWS="Windows XP Pro" /noexecute=optin /fastdetect /usepmtimer multi(0)disk(0)rdisk(1)partition(2)\WINDOWS="Windows XP Pro x64" /noexecute=optin /fastdetect /usepmtimer What am I missing?

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  • Using an alternate search platform in Commerce Server 2009

    - by Lewis Benge
    Although Microsoft Commerce Server 2009's architecture is built upon Microsoft SQL Server, and has the full power of the SQL Full Text Indexing Search Platform, there are time however when you may require a richer or alternate search platform. One of these scenarios if when you want to implement a faceted (refinement) search into your site, which provides dynamic refinements based on the search results dataset. Faceted search is becoming popular in most online retail environments as a way of providing an enhanced user experience when browsing a larger catalogue. This is powerful for two reasons, firstly with a traditional search it is down to a user to think of a search term suitable for the product they are trying to find. This typically will not return similar products or help in any way to refine a larger dataset. Faceted searches on the other hand provide a comprehensive list of product properties, grouped together by similarity to help the user narrow down the results returned, as the user progressively restricts the search criteria by selecting additional criteria to search again, these facets needs to continually refresh. The whole experience allows users to explore alternate brands, price-ranges, or find products they hadn't initially thought of or where looking for in a bid to enhance cross sell in the retail environment. The second advantage of this type of search from a business perspective is also to harvest the search result to start to profile your user. Even though anonymous users may routinely visit your site, and will not necessarily register or complete a transaction to build up marketing data- profiling, you can still achieve the same result by recording search facets used within the search sequence. Below is a faceted search scenario generated from eBay using the search term "server". By creating a search profile of clicking through Computer & Networking -> Servers -> Dell - > New and recording this information against my user profile you can start to predict with a lot more certainty what types of products I am interested in. This will allow you to apply shopping-cart analysis against your search data and provide great cross-sale or advertising opportunity, or personalise the user experience based on your prediction of what the user may be interested in. This type of search is extremely beneficial in e-Commerce environments but achieving it out of the box with Commerce Server and SQL Full Text indexing can be challenging. In many deployments it is often easier to use an alternate search platform such as Microsoft's FAST, Apache SOLR, or Endecca, however you still want these products to integrate natively into Commerce Server to ensure that up-to-date inventory information is presented, profile information is generated, and you provide a consistant API. To do so we make the most of the Commerce Server extensibilty points called operation sequence components. In this example I will be talking about Apache Solr hosted on Apache Tomcat, in this specific example I have used the SolrNet C# library to interface to the Java platform. Also I am not going to talk about Solr configuration of indexing – but in a production envionrment this would typically happen by using Powershell to call the Commerce Server management webservice to export your catalog as XML, apply an XSLT transform to the file to make it conform to SOLR and use a simple HTTP Post to send it to the search enginge for indexing. Essentially a sequance component is a step in a serial workflow used to call a data repository (which in most cases is usually the Commerce Server pipelines or databases) and map to and from a Commerce Entity object whilst enforcing any business rules. So the first step in the process is to add a new class library to your existing Commerce Server site. You will need to use a new library as Sequence Components will need to be strongly named to be deployed. Once you are inside of your new project, add a new class file and add a reference to the Microsoft.Commerce.Providers, Microsoft.Commerce.Contracts and the Microsoft.Commerce.Broker assemblies. Now make your new class derive from the base object Microsoft.Commerce.Providers.Components.OperationSequanceComponent and overide the ExecuteQueryMethod. Your screen will then look something similar ot this: As all we are doing on this component is conducting a search we are only interested in the ExecuteQuery method. This method accepts three arguments, queryOperation, operationCache, and response. The queryOperation will be the object in which we receive our search parameters, the cache allows access to the Commerce Server cache allowing us to store regulary accessed information, and the response object is the object which we will return the result of our search upon. Inside this method is simply where we are going to inject our logic for our third party search platform. As I am not going to explain the inner-workings of actually making a SOLR call, I'll simply provide the sample code here. I would highly recommend however looking at the SolrNet wiki as they have some great explinations of how the API works. What you will find however is that there are some further extensions required when attempting to integrate a custom search provider. Firstly you out of the box the CommerceQueryOperation you will receive into the method when conducting a search against a catalog is specifically geared towards a SQL Full Text Search with properties such as a Where clause. To make the operation you receive more relevant you will need to create another class, this time derived from Microsoft.Commerce.Contract.Messages.CommerceSearchCriteria and within this you need to detail the properties you will require to allow you to submit as parameters to the SOLR search API. My exmaple looks like this: [DataContract(Namespace = "http://schemas.microsoft.com/microsoft-multi-channel-commerce-foundation/types/2008/03")] public class CommerceCatalogSolrSearch : CommerceSearchCriteria { private Dictionary<string, string> _facetQueries;   public CommerceCatalogSolrSearch() { _facetQueries = new Dictionary<String, String>();   }     public Dictionary<String, String> FacetQueries { get { return _facetQueries; } set { _facetQueries = value; } }   public String SearchPhrase{ get; set; } public int PageIndex { get; set; } public int PageSize { get; set; } public IEnumerable<String> Facets { get; set; }   public string Sort { get; set; }   public new int FirstItemIndex { get { return (PageIndex-1)*PageSize; } }   public int LastItemIndex { get { return FirstItemIndex + PageSize; } } }  To allow you to construct a CommerceQueryOperation call within the API you will also need to construct another class to derived from Microsoft.Commerce.Common.MessageBuilders.CommerceSearchCriteriaBuilder and is simply used to construct an instance of the CommerceQueryOperation you have just created and expose the properties you want set. My Message builder looks like this: public class CommerceCatalogSolrSearchBuilder : CommerceSearchCriteriaBuilder { private CommerceCatalogSolrSearch _solrSearch;   public CommerceCatalogSolrSearchBuilder() { _solrSearch = new CommerceCatalogSolrSearch(); }   public String SearchPhrase { get { return _solrSearch.SearchPhrase; } set { _solrSearch.SearchPhrase = value; } }   public int PageIndex { get { return _solrSearch.PageIndex; } set { _solrSearch.PageIndex = value; } }   public int PageSize { get { return _solrSearch.PageSize; } set { _solrSearch.PageSize = value; } }   public Dictionary<String,String> FacetQueries { get { return _solrSearch.FacetQueries; } set { _solrSearch.FacetQueries = value; } }   public String[] Facets { get { return _solrSearch.Facets.ToArray(); } set { _solrSearch.Facets = value; } } public override CommerceSearchCriteria ToSearchCriteria() { return _solrSearch; } }  Once you have these two classes in place you can now safely cast the CommerceOperation you receive as an argument of the overidden ExecuteQuery method in the SequenceComponent to the CommerceCatalogSolrSearch operation you have just created, e.g. public CommerceCatalogSolrSearch TryGetSearchCriteria(CommerceOperation operation) { var searchCriteria = operation as CommerceQueryOperation; if (searchCriteria == null) throw new Exception("No search criteria present");   var local = (CommerceCatalogSolrSearch) searchCriteria.SearchCriteria; if (local == null) throw new Exception("Unexpected Search Criteria in Operation");   return local; }  Now you have all of your search parameters present, you can go off an call the external search platform API. You will of-course get proprietry objects returned, so the next step in the process is to convert the results being returned back into CommerceEntities. You do this via another extensibility point within the Commerce Server API called translatators. Translators are another separate class, this time derived inheriting the interface Microsoft.Commerce.Providers.Translators.IToCommerceEntityTranslator . As you can imaginge this interface is specific for the conversion of the object TO a CommerceEntity, you will need to implement a separate interface if you also need to go in the opposite direction. If you implement the required method for the interace you will get a single translate method which has a source onkect, destination CommerceEntity, and a collection of properties as arguments. For simplicity sake in this example I have hard-coded the mappings, however best practice would dictate you map the objects using your metadatadefintions.xml file . Once complete your translator would look something like the following: public class SolrEntityTranslator : IToCommerceEntityTranslator { #region IToCommerceEntityTranslator Members   public void Translate(object source, CommerceEntity destinationCommerceEntity, CommercePropertyCollection propertiesToReturn) { if (source.GetType().Equals(typeof (SearchProduct))) { var searchResult = (SearchProduct) source;   destinationCommerceEntity.Id = searchResult.ProductId; destinationCommerceEntity.SetPropertyValue("DisplayName", searchResult.Title); destinationCommerceEntity.ModelName = "Product";   } }  Once you have a translator in place you can then safely map the results of your search platform into Commerce Entities and attach them on to the CommerceResponse object in a fashion similar to this: foreach (SearchProduct result in matchingProducts) { var destinationEntity = new CommerceEntity(_returnModelName);   Translator.ToCommerceEntity(result, destinationEntity, _queryOperation.Model.Properties); response.CommerceEntities.Add(destinationEntity); }  In SOLR I actually have two objects being returned – a product, and a collection of facets so I have an additional translator for facet (which maps to a custom facet CommerceEntity) and my facet response from SOLR is passed into the Translator helper class seperatley. When all of this is pieced together you have sucessfully completed the extensiblity point coding. You would have created a new OperationSequanceComponent, a custom SearchCritiera object and message builder class, and translators to convert the objects into Commerce Entities. Now you simply need to configure them, and can start calling them in your code. Make sure you sign you assembly, compile it and identiy its signature. Next you need to put this a reference of your new assembly into the Channel.Config configuration file replacing that of the existing SQL Full Text component: You will also need to add your translators to the Translators node of your Channel.Config too: Lastly add any custom CommerceEntities you have developed to your MetaDataDefintions.xml file. Your configuration is now complete, and you should now be able to happily make a call to the Commerce Foundation API, which will act as a proxy to your third party search platform and return back CommerceEntities of your search results. If you require data to be enriched, or logged, or any other logic applied then simply add further sequence components into the OperationSequence (obviously keeping the search response first) to the node of your Channel.Config file. Now to call your code you simply request it as per any other CommerceQuery operation, but taking into account you may be receiving multiple types of CommerceEntity returned: public KeyValuePair<FacetCollection ,List<Product>> DoFacetedProductQuerySearch(string searchPhrase, string orderKey, string sortOrder, int recordIndex, int recordsPerPage, Dictionary<string, string> facetQueries, out int totalItemCount) { var products = new List<Product>(); var query = new CommerceQuery<CatalogEntity, CommerceCatalogSolrSearchBuilder>();   query.SearchCriteria.PageIndex = recordIndex; query.SearchCriteria.PageSize = recordsPerPage; query.SearchCriteria.SearchPhrase = searchPhrase; query.SearchCriteria.FacetQueries = facetQueries;     totalItemCount = 0; CommerceResponse response = SiteContext.ProcessRequest(query.ToRequest()); var queryResponse = response.OperationResponses[0] as CommerceQueryOperationResponse;   // No results. Return the empty list if (queryResponse != null && queryResponse.CommerceEntities.Count == 0) return new KeyValuePair<FacetCollection, List<Product>>();   totalItemCount = (int)queryResponse.TotalItemCount;   // Prepare a multi-operation to retrieve the product variants var multiOperation = new CommerceMultiOperation();     //Add products to results foreach (Product product in queryResponse.CommerceEntities.Where(x => x.ModelName == "Product")) { var productQuery = new CommerceQuery<Product>(Product.ModelNameDefinition); productQuery.SearchCriteria.Model.Id = product.Id; productQuery.SearchCriteria.Model.CatalogId = product.CatalogId;   var variantQuery = new CommerceQueryRelatedItem<Variant>(Product.RelationshipName.Variants);   productQuery.RelatedOperations.Add(variantQuery);   multiOperation.Add(productQuery); }   CommerceResponse variantsResponse = SiteContext.ProcessRequest(multiOperation.ToRequest()); foreach (CommerceQueryOperationResponse queryOpResponse in variantsResponse.OperationResponses) { if (queryOpResponse.CommerceEntities.Count() > 0) products.Add(queryOpResponse.CommerceEntities[0]); }   //Get facet collection FacetCollection facetCollection = queryResponse.CommerceEntities.Where(x => x.ModelName == "FacetCollection").FirstOrDefault();     return new KeyValuePair<FacetCollection, List<Product>>(facetCollection, products); }    ..And that is it – simply a few classes and some configuration will allow you to extend the Commerce Server query operations to call a third party search platform, whilst still maintaing a unifed API in the remainder of your code. This logic stands for any extensibility within CommerceServer, which requires excution in a serial fashioon such as call to LOB systems or web service to validate or enrich data. Feel free to use this example on other applications, and if you have any questions please feel free to e-mail and I'll help out where I can!

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  • Search Route in ASP.NET MVC

    - by olst
    Hi. I have a simple search form in my master page and a serach controller and view. I'm trying to get the following route for the string search term "myterm" (for example): root/search/myterm The form in the master page : <% using (Html.BeginForm("SearchResults", "Search", FormMethod.Post, new { id = "search_form" })) { %> <input name="searchTerm" type="text" class="textfield" /> <input name="search" type="submit" value="search" class="button" /> <%} %> The Controller Action: public ActionResult SearchResults(string searchTerm){...} The Route I'm Using : routes.MapRoute( "Search", "search/{term}", new { controller = "Search", action = "SearchResults", term = (string)null } ); routes.MapRoute( "Default", "{controller}/{action}", new { controller = "Home", action = "Index" } ); I'm always getting the url "root/search" without the search term, no matter what search term I enter. Thanks.

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  • Difference between Breadth First Search, and Iterative deepening

    - by theraven
    I understand BFS, and DFS, but for the life of me cannot figure out the difference between iterative deepening and BFS. Apparently Iterative deepening has the same memory usage as DFS, but I am unable to see how this is possible, as it just keeps expanding like BFS. If anyone can clarify that would be awesome. tree to work on if required: A / \ B C / / \ D E F

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  • Unity Dash Application search results - some icons appear as blank page icons

    - by Stoney_Fish
    Ubuntu 14.04 64bit on Dell E6420 (Sandybridge graphics) Open Unity Dash search My filters are set only on "Applications" and "Files & Folders" I type : Software The results are good but some icons appear as blank page icons (document?) Example Applications : "Ubuntu Software Centre" and "Software & Updates" "Software Updater" has the correct application icon. (The blank page icon look like a blank page with the top right corner folded.)

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  • Microsoft Semantic Search

    - by sqlartist
    This is something I really get excitied about - Microsoft Semantic Search. There is an excellent PDC demo and presentation here - http://microsoftpdc.com/Sessions/SVR32 . Intially I didn't think this was SQL related but I read that it may be included in future versions of SQL Server. For many years I have written linguistic, semantic, text extraction & clustering code in SQL Server for fun - now finally I can throw that all away and use this tool :) It reminds me of the Microsoft Research...(read more)

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  • Controlling text that appears in google search results

    - by Mick
    I have recently made a simple (pure HTML) website. The most important key phrase that I want to capture is "full reserve banking". Currently, if I type "full reserve banking" (without quotes) into google, then my site appears as the 7th item on the first page. I am reasonably happy with this as the site is so new. But one frustration is that the text that google displays in relation to my site is rather misleading. The main message I would like to get across is that my site is "A collection of resources for anyone interested in this alternative monetary system." and I have this as the first line of text on the page. Unfortunately, this important sentence is nowhere to be seen in the google search result. So my question is - is there anything I can do to fix this error? Edit: I noticed that someone edited this question to remove the name of the website. I was very keen to leave it in because being able to look at it makes it far easier to diagnose what I did wrong. Indeed the answer suggested by "Su" clearly shows that they looked at my website and analyzed what it was doing which helped them give a clearer answer. If I am breaking some policy by including the name then please explain what this policy is in a comment. Edit: I have now made a series of changes to my meta descriptions as inspired by the answers given here. On the homepage I now have the text: <META NAME="description" CONTENT="A collection of resources for anyone interested in Full Reserve Banking. What it is, how it works, web resources, organisations, research papers etc."> I am now very excited to see what will happen after the next visit by the google robots. Edit: Result! I just did a google search for "full reserve banking", and the text that appeared was: Full Reserve Banking: The definitive resource. A collection of resources for anyone interested in Full Reserve Banking. What it is, how it works, web resources, organisations, research papers etc. www.fullreservebanking.com/ - Cached By the way, I did originally have a meta description - but it was too short, it just said "full reserve banking". Google obviously assumed this was too little and so chose to use its own algorithms to cook up a different sentence from the main text.

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  • wget crawling search results of news website

    - by kiltek
    I am trying to crawl the search results of a news website using wget. The name of the website is www.voanews.com. After typing in my search keyword and clicking search, it proceeds to the results. Then i can specify a "to" and a "from"-date and hit search again. After this the URL becomes: http://www.voanews.com/search/?st=article&k=mykeyword&df=10%2F01%2F2013&dt=09%2F20%2F2013&ob=dt#article and the actual content of the results is what i want to download. To achieve this I created the following wget-command: wget --reject=js,txt,gif,jpeg,jpg \ --accept=html \ --user-agent=My-Browser \ --recursive --level=2 \ www.voanews.com/search/?st=article&k=germany&df=08%2F21%2F2013&dt=09%2F20%2F2013&ob=dt#article Unfortunately, the crawler doesn't download the search results. It only gets into the upper link bar, which contains the "Home,USA,Africa,Asia,..." links and saves the articles they link to. It seems like he crawler doesn't check the search result links at all. What am I doing wrong and how can I modify the wget command to download the results search list links (and of course the sites they link to) only ?

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  • Link form correct, or, punishable by search engines?

    - by w0rldart
    I have the following dilemma with the links of a wordpress blog that I work with, I don't know if the way it creates the link to the images is ok or not so good. For example: Article URL: http://test.com/prima-de-riesgo/ Image URL belonging to the article: http://test.com/prima-de-riesgo/europa/ So what I'm worried about is the repeating "prima-de-riesgo" part. Should I, or shouldn't I? UPDATE Wow, I can't believe that you took test.com as for the real domain, hehe! Article URL: http://queaprendemoshoy.com/prima-de-riesgo-y-otras-graficas-interesantes-del-ano-2011-deuda-publica-pib-vs-empleo-y-precio-del-oro/ Image URL belonging to the article: http://queaprendemoshoy.com/prima-de-riesgo-y-otras-graficas-interesantes-del-ano-2011-deuda-publica-pib-vs-empleo-y-precio-del-oro/deuda-publica-eurozona/ So, as I mentioned... I'm worried that prima-de-riesgo-y-otras-graficas-interesantes-del-ano-2011-deuda-publica-pib-vs-empleo-y-precio-del-oro , the common factor for the article url and image url, can be considerate as duplicate content or anything that could be punishable by search engines

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  • google custom search gives different result number for same query

    - by santiagozky
    We are using google custom search and we have found that often the totalResults iterates between two values, even for the same query. The different values can be slightly different or more than double. The parameters I am using look like this: https://www.googleapis.com/customsearch/v1? q=something cx=XXXXXXXXXX lr=lang_en siteSearch=www.mydomain.com start=1 fields=context%2Citems%28fileFormat%2CformattedUrl%2Clink%2Cpagemap%2Csnippet%2Ctitle%29%2Cqueries%2CsearchInformation%28searchTime%2CtotalResults%29%2Cspelling%2FcorrectedQuery key=YYYYYYYYYYYYYYY filter=0 This is problem because of calculating the number of result pages. How can I get the same results for the same query?

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