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Page title matches

• Item recommendation
  29 bytes (3 words) - 11:53, 10 August 2011
• Recommendation Software
  ...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
• Recommendation Datasets
  The table below shows a comparison of some of the more common datasets for recommendation. * [[Recommendation Software]]
  1 KB (120 words) - 04:18, 11 August 2015
• Playlist recommendation
  #REDIRECT [[Music recommendation]]
  34 bytes (3 words) - 13:21, 7 November 2011
• Music Recommendation
  #REDIRECT [[Music recommendation]]
  34 bytes (3 words) - 13:21, 7 November 2011
• Music recommendation
  '''Music recommendation''' is the personalized suggestion of musical [[item]]s, e.g. tracks, albums ...ticular task is the generation of personalized playlists, i.e. '''playlist recommendation'''.
  873 bytes (100 words) - 17:57, 15 August 2012
• Tag recommendation
  '''Tag recommendation''' is the task of predicting [[folksonomy]] [[tag]]s for a given [[user]] a ...Roelof van Zwol]]: ''[http://research.yahoo.net/files/WWW08.pdf Flickr Tag Recommendation based on Collective Knowledge]'', WWW 2008
  1 KB (142 words) - 11:49, 30 May 2012
• Hybrid recommendation
  32 bytes (3 words) - 04:25, 7 June 2011
• News recommendation
  Although research on adaptive news retrieval and [[recommendation]] has been performed for many years, most research has been focused on rath == Open Recommendation Platform (ORP) ==
  974 bytes (146 words) - 05:55, 4 December 2014
• Group recommendation
  '''Group recommendation''' is the task of recommending items to groups of users instead of single u or TV program recommendation for a household (groups tend not to change much over time).
  1 KB (167 words) - 08:51, 21 July 2011
• Research paper recommendation
  '''Research paper recommendation'''.
  301 bytes (34 words) - 16:29, 10 August 2011
• Context-Aware Recommendation
  #REDIRECT [[Context-aware recommendation‎]]
  45 bytes (3 words) - 11:28, 23 September 2011
• Top-N recommendation
  '''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
• Context-aware recommendation
  ...re Movie Recommendation|2010]] and [[2011 Challenge on Context-aware Movie Recommendation]] * [[Workshop on Context-awareness in Retrieval and Recommendation]] (CaRR 2011)
  2 KB (229 words) - 17:43, 20 August 2012
• Open Recommendation Platform
  '''Open Recommendation Platform''' (ORP) enables users to test and track their algorithm's statist ...Plista]] and allows researchers and practitioners to run A/B tests on news recommendation algorithms.
  401 bytes (51 words) - 09:33, 20 September 2014
• 2011 Challenge on Context-aware Movie Recommendation
  [[Category: Movie recommendation]]
  522 bytes (61 words) - 12:17, 18 November 2011
• 2010 Challenge on Context-aware Movie Recommendation
  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
• Workshop on Context-awareness in Retrieval and Recommendation
  The '''Workshop on Context-awareness in Retrieval and Recommendation''' is a series of workshops held in conjunction with the Intelligent Users ...oncerning, among other [[machine learning]], [[information retrieval]] and recommendation.
  984 bytes (130 words) - 04:57, 11 October 2011
• Crowd-powered recommendation for continuous digital media access and exchange in social networks
  '''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

Page text matches

• Tag recommendation
  '''Tag recommendation''' is the task of predicting [[folksonomy]] [[tag]]s for a given [[user]] a ...Roelof van Zwol]]: ''[http://research.yahoo.net/files/WWW08.pdf Flickr Tag Recommendation based on Collective Knowledge]'', WWW 2008
  1 KB (142 words) - 11:49, 30 May 2012
• Recommender Systems Challenge
  * [http://www.dai-labor.de/camra2010/ CAMRa2010] Context-Aware Movie Recommendation ...60310010222/http://2011.camrachallenge.com/ CAMRa2011] Context-Aware Movie Recommendation
  2 KB (159 words) - 11:14, 28 January 2021
• Hybrid recommender
  ...data and [[tag recommendation|tags]], into consideration when creating the recommendation model.
  186 bytes (27 words) - 04:25, 7 June 2011
• Filmaster API
  ...'''Filmaster API''' is a RESTful web service API for [[Filmaster]]'s movie recommendation service, which allows 3rd party developers to develop Filmaster clients on ...rticle/filmaster-unveils-movie-recommendation-api/ Filmaster unveils movie recommendation API]
  447 bytes (53 words) - 10:30, 4 January 2014
• Music recommendation
  '''Music recommendation''' is the personalized suggestion of musical [[item]]s, e.g. tracks, albums ...ticular task is the generation of personalized playlists, i.e. '''playlist recommendation'''.
  873 bytes (100 words) - 17:57, 15 August 2012
• Item prediction
  '''Item prediction''' or '''item recommendation''' is the task of predicting [[item]]s (movies, books, products, videos, jo * [[tag recommendation]]
  850 bytes (108 words) - 15:30, 1 September 2011
• Recdb
  ...ndation applications]] in a heartbeat through a wide variety of built-in [[recommendation]] algorithms like user-user [[collaborative filtering]], item-item collabor ...on queries (written in SQL) and hence provides near real-time personalized recommendation to a high number of end-users who expressed their opinions over a large poo
  1 KB (162 words) - 06:04, 4 December 2014
• Open positions at Zalando 2020
  ...4965-principal-product-manager-recommendation/ Principal Product Manager - Recommendation] [[Category:Fashion recommendation]]
  792 bytes (70 words) - 11:23, 26 September 2020
• Open Recommendation Platform
  '''Open Recommendation Platform''' (ORP) enables users to test and track their algorithm's statist ...Plista]] and allows researchers and practitioners to run A/B tests on news recommendation algorithms.
  401 bytes (51 words) - 09:33, 20 September 2014
• News recommendation
  Although research on adaptive news retrieval and [[recommendation]] has been performed for many years, most research has been focused on rath == Open Recommendation Platform (ORP) ==
  974 bytes (146 words) - 05:55, 4 December 2014
• Group recommendation
  '''Group recommendation''' is the task of recommending items to groups of users instead of single u or TV program recommendation for a household (groups tend not to change much over time).
  1 KB (167 words) - 08:51, 21 July 2011
• Music
  #REDIRECT [[Music recommendation]]
  34 bytes (3 words) - 13:22, 7 November 2011
• Playlist
  #REDIRECT [[Music recommendation]]
  34 bytes (3 words) - 13:22, 7 November 2011
• Book
  #REDIRECT [[book recommendation]]
  33 bytes (3 words) - 07:17, 17 July 2011
• Playlist recommendation
  #REDIRECT [[Music recommendation]]
  34 bytes (3 words) - 13:21, 7 November 2011
• Music Recommendation
  #REDIRECT [[Music recommendation]]
  34 bytes (3 words) - 13:21, 7 November 2011
• LibRec
  ...sists of three major components: Generic Interfaces, Data Structures and [[Recommendation Algorithms]].
  394 bytes (47 words) - 05:43, 4 December 2014
• Movie recommender systems
  #REDIRECT [[:Category: Movie recommendation]]
  45 bytes (4 words) - 07:17, 17 July 2011
• Context-specific
  #REDIRECT [[Context-aware recommendation]]
  42 bytes (3 words) - 08:37, 29 September 2011
• ORP
  #REDIRECT [[Open Recommendation Platform]]
  42 bytes (4 words) - 09:40, 20 September 2014

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