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- 32 bytes (3 words) - 04:25, 7 June 2011
- 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''' 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
- 29 bytes (3 words) - 11:53, 10 August 2011
- ...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
- 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
- #REDIRECT [[Music recommendation]]34 bytes (3 words) - 13:21, 7 November 2011
- #REDIRECT [[Music recommendation]]34 bytes (3 words) - 13:21, 7 November 2011
- '''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''' 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 20081 KB (142 words) - 11:49, 30 May 2012
- ...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''' (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
- '''Research paper recommendation'''.301 bytes (34 words) - 16:29, 10 August 2011
- #REDIRECT [[Context-aware recommendation]]45 bytes (3 words) - 11:28, 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
- [[Category: Movie recommendation]]522 bytes (61 words) - 12:17, 18 November 2011
- 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
- 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''' (''' * Stream Recommendation: real-time combination of information from collection, context, user intera1 KB (124 words) - 10:13, 20 September 2014
Page text matches
- '''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 20081 KB (142 words) - 11:49, 30 May 2012
- * [http://www.dai-labor.de/camra2010/ CAMRa2010] Context-Aware Movie Recommendation ...60310010222/http://2011.camrachallenge.com/ CAMRa2011] Context-Aware Movie Recommendation2 KB (159 words) - 11:14, 28 January 2021
- ...data and [[tag recommendation|tags]], into consideration when creating the recommendation model.186 bytes (27 words) - 04:25, 7 June 2011
- ...'''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''' 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''' 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
- ...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 poo1 KB (162 words) - 06:04, 4 December 2014
- ...4965-principal-product-manager-recommendation/ Principal Product Manager - Recommendation] [[Category:Fashion recommendation]]792 bytes (70 words) - 11:23, 26 September 2020
- '''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
- 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''' 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
- #REDIRECT [[Music recommendation]]34 bytes (3 words) - 13:21, 7 November 2011
- #REDIRECT [[Music recommendation]]34 bytes (3 words) - 13:21, 7 November 2011
- #REDIRECT [[Music recommendation]]34 bytes (3 words) - 13:22, 7 November 2011
- #REDIRECT [[Music recommendation]]34 bytes (3 words) - 13:22, 7 November 2011
- #REDIRECT [[book recommendation]]33 bytes (3 words) - 07:17, 17 July 2011
- ...sists of three major components: Generic Interfaces, Data Structures and [[Recommendation Algorithms]].394 bytes (47 words) - 05:43, 4 December 2014
- #REDIRECT [[:Category: Movie recommendation]]45 bytes (4 words) - 07:17, 17 July 2011
- #REDIRECT [[Open Recommendation Platform]]42 bytes (4 words) - 09:40, 20 September 2014
- #REDIRECT [[Context-aware recommendation]]42 bytes (3 words) - 08:37, 29 September 2011