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  • #REDIRECT [[:Category:Movie recommendation]]
    44 bytes (4 words) - 08:40, 29 September 2011
  • ...ick of a button calculate and visualize recommendation results of multiple recommendation algorithms.
    427 bytes (56 words) - 06:03, 4 December 2014
  • #REDIRECT [[2010 Challenge on Context-aware Movie Recommendation]]
    66 bytes (6 words) - 13:49, 14 February 2011
  • #REDIRECT [[2010 Challenge on Context-aware Movie Recommendation]]
    66 bytes (6 words) - 10:03, 20 September 2014
  • #REDIRECT [[2011 Challenge on Context-aware Movie Recommendation]]
    66 bytes (6 words) - 04:21, 19 April 2011
  • #REDIRECT [[2011 Challenge on Context-aware Movie Recommendation]]
    66 bytes (6 words) - 10:04, 20 September 2014
  • #REDIRECT [[Workshop on Context-awareness in Retrieval and Recommendation]]
    75 bytes (8 words) - 03:04, 17 February 2011
  • #REDIRECT [[Workshop on Context-awareness in Retrieval and Recommendation]]
    75 bytes (8 words) - 11:32, 23 September 2011
  • '''Top-N recommendation''' is a variant of or an evaluation mode for the [[item prediction]] task. Typical [[evaluation measure]]s for top-N recommendation are [[normalized discounted cumulative gain]] (NDCG) and [[precision]].
    430 bytes (63 words) - 06:18, 17 January 2012
  • ...h a self-implemented software, a machine learning package or a specific '''recommendation-focused''' software package or library. ...below shows a comparison of some of the more common software packages for recommendation.
    2 KB (175 words) - 09:23, 14 February 2016
  • .... Currently, the prize is 250€ per week. The contest is a good way to test recommendation algorithms with real users instead of using offline datasets.
    650 bytes (82 words) - 05:43, 5 April 2013
  • #REDIRECT [[Crowd-powered recommendation for continuous digital media access and exchange in social networks]]
    110 bytes (13 words) - 10:15, 20 September 2014
  • ...h tag. To encourage the user to utilize structured tags, a ''self learning recommendation engine'' provides suggestions of structured tags during the input process. [[Category: Tag recommendation]]
    601 bytes (80 words) - 12:07, 23 September 2011
  • [[Category: Movie recommendation]] '''moviepilot''' is the Berlin-based company behind the German movie recommendation community [http://www.moviepilot.de| moviepilot.de] and the international [
    561 bytes (71 words) - 10:55, 29 January 2014
  • ...he Galaxy of Movies''' is a Flash-based movie visualization, discovery and recommendation application, developed by A. Paterek, a top-50 [[Netflix Prize]] contestant [[Category: Movie recommendation]]
    707 bytes (91 words) - 21:00, 13 July 2014
  • '''Crowd-powered recommendation for continuous digital media access and exchange in social networks''' (''' * Stream Recommendation: real-time combination of information from collection, context, user intera
    1 KB (124 words) - 10:13, 20 September 2014
  • The '''2010 Challenge on Context-aware Movie Recommendation''' ('''CAMRA 2010''') was held at the [[RecSys2010|2010 Recommender Systems ...Mood-specific Movie Similarity with Matrix Factorization for Context-aware Recommendation''' - [[Yue Shi]], [[Martha Larson]], [[Alan Hanjalic]].
    3 KB (459 words) - 12:24, 23 January 2012
  • [[Category: Movie recommendation]] [[Category: Music recommendation]]
    744 bytes (79 words) - 12:11, 9 January 2012
  • '''Filmtipset''' is a Swedish movie recommendation community. The use case is similar to that of [[Moviepilot]], [[Jinni]] or ...ipset/tailpages.cgi?page=faq#driversajten</ref>. The company also runs the recommendation websites [[Boktipset]]<ref>http://www.boktipset.se</ref> for books, [[Somme
    1 KB (207 words) - 09:30, 19 January 2012
  • ...ade it simpler than ever to find and access music. In this scenario, music recommendation systems have become increasingly important for listeners to discover and na ...e achieved by taking into account the peculiarities of music and the music recommendation process. A successful music recommender should combine insights from user p
    3 KB (426 words) - 23:39, 9 June 2011

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