Comments on: Building Recommendation Engines http://www.theinformationadvantage.com/acquisition/building-recommendation-engines/ Realizing value from information Tue, 17 Aug 2010 15:51:01 +0000 hourly 1 http://wordpress.org/?v=3.0 By: uberVU - social comments http://www.theinformationadvantage.com/acquisition/building-recommendation-engines/comment-page-1/#comment-263 uberVU - social comments Wed, 25 Nov 2009 02:28:06 +0000 http://diamondinfoanalytics.com/blog1/2008/01/03/building-recommendation-engines/#comment-263 <strong>Social comments and analytics for this post...</strong> This post was mentioned on Twitter by imrchen: #Read Building Recommendation Engines http://cli.gs/B4pJ1d #resys (via @clickstone)... Social comments and analytics for this post…

This post was mentioned on Twitter by imrchen: #Read Building Recommendation Engines http://cli.gs/B4pJ1d #resys (via @clickstone)…

]]> By: All Reviews are not Created Equal « Kyle McNamara’s Blog http://www.theinformationadvantage.com/acquisition/building-recommendation-engines/comment-page-1/#comment-173 All Reviews are not Created Equal « Kyle McNamara’s Blog Mon, 19 May 2008 16:06:21 +0000 http://diamondinfoanalytics.com/blog1/2008/01/03/building-recommendation-engines/#comment-173 [...] All Reviews are not Created Equal A few weeks ago, Shantanu wrote on recommendation engines and how user feedback and ratings can be a part of recommendations you provide to your customers. But if you have ever looked through user recommendations while shopping online for a product, stock, or movie, you know that they aren’t all helpful. Ideally, user ratings would accurately represent the population, but not all feedback is created equal, and there are some inherent challenges in these systems: [...] [...] All Reviews are not Created Equal A few weeks ago, Shantanu wrote on recommendation engines and how user feedback and ratings can be a part of recommendations you provide to your customers. But if you have ever looked through user recommendations while shopping online for a product, stock, or movie, you know that they aren’t all helpful. Ideally, user ratings would accurately represent the population, but not all feedback is created equal, and there are some inherent challenges in these systems: [...]

]]> By: Analytical Engine » All Reviews Are Not Created Equal http://www.theinformationadvantage.com/acquisition/building-recommendation-engines/comment-page-1/#comment-172 Analytical Engine » All Reviews Are Not Created Equal Thu, 27 Mar 2008 04:07:09 +0000 http://diamondinfoanalytics.com/blog1/2008/01/03/building-recommendation-engines/#comment-172 [...] A few weeks ago, Shantanu wrote on recommendation engines and how user feedback and ratings can be a part of recommendations you provide to your customers.  But if you have ever looked through user recommendations while shopping online for a product, stock, or movie, you know that they aren’t all helpful.  Ideally, user ratings would accurately represent the population, but not all feedback is created equal, and there are some inherent challenges in these systems: [...] [...] A few weeks ago, Shantanu wrote on recommendation engines and how user feedback and ratings can be a part of recommendations you provide to your customers.  But if you have ever looked through user recommendations while shopping online for a product, stock, or movie, you know that they aren’t all helpful.  Ideally, user ratings would accurately represent the population, but not all feedback is created equal, and there are some inherent challenges in these systems: [...]

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