Matches in SemOpenAlex for { <https://semopenalex.org/work/W2296244148> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2296244148 abstract "Typical recommender systems use the root mean squared error (RMSE) between the predicted and actual ratings as the evaluation metric. We argue that RMSE is not an optimal choice for this task, especially when we will only recommend a few (top) items to any user. Instead, we propose using a ranking metric, namely normalized discounted cumulative gain (NDCG), as a better evaluation metric for this task. Borrowing ideas from the learning to rank community for web search, we propose novel models which approximately optimize NDCG for the recommendation task. Our models are essentially variations on matrix factorization models where we also additionally learn the features associated with the users and the items for the ranking task. Experimental results on a number of standard collaborative filtering data sets validate our claims. The results also show the accuracy and efficiency of our models and the benefits of learning features for ranking." @default.
- W2296244148 created "2016-06-24" @default.
- W2296244148 creator A5016745636 @default.
- W2296244148 creator A5078511139 @default.
- W2296244148 date "2012-02-08" @default.
- W2296244148 modified "2023-10-12" @default.
- W2296244148 title "Collaborative ranking" @default.
- W2296244148 cites W1678356000 @default.
- W2296244148 cites W2020631728 @default.
- W2296244148 cites W2047221353 @default.
- W2296244148 cites W2054141820 @default.
- W2296244148 cites W2069870183 @default.
- W2296244148 cites W2090883204 @default.
- W2296244148 cites W2117130368 @default.
- W2296244148 cites W2128192653 @default.
- W2296244148 cites W2142537246 @default.
- W2296244148 cites W2143160289 @default.
- W2296244148 cites W2143166796 @default.
- W2296244148 cites W2150886314 @default.
- W2296244148 cites W2171749496 @default.
- W2296244148 cites W2911964244 @default.
- W2296244148 cites W2998704965 @default.
- W2296244148 doi "https://doi.org/10.1145/2124295.2124314" @default.
- W2296244148 hasPublicationYear "2012" @default.
- W2296244148 type Work @default.
- W2296244148 sameAs 2296244148 @default.
- W2296244148 citedByCount "118" @default.
- W2296244148 countsByYear W22962441482012 @default.
- W2296244148 countsByYear W22962441482013 @default.
- W2296244148 countsByYear W22962441482014 @default.
- W2296244148 countsByYear W22962441482015 @default.
- W2296244148 countsByYear W22962441482016 @default.
- W2296244148 countsByYear W22962441482017 @default.
- W2296244148 countsByYear W22962441482018 @default.
- W2296244148 countsByYear W22962441482019 @default.
- W2296244148 countsByYear W22962441482020 @default.
- W2296244148 countsByYear W22962441482021 @default.
- W2296244148 countsByYear W22962441482022 @default.
- W2296244148 countsByYear W22962441482023 @default.
- W2296244148 crossrefType "proceedings-article" @default.
- W2296244148 hasAuthorship W2296244148A5016745636 @default.
- W2296244148 hasAuthorship W2296244148A5078511139 @default.
- W2296244148 hasConcept C105795698 @default.
- W2296244148 hasConcept C114614502 @default.
- W2296244148 hasConcept C119857082 @default.
- W2296244148 hasConcept C124101348 @default.
- W2296244148 hasConcept C124975894 @default.
- W2296244148 hasConcept C139945424 @default.
- W2296244148 hasConcept C154945302 @default.
- W2296244148 hasConcept C162324750 @default.
- W2296244148 hasConcept C164226766 @default.
- W2296244148 hasConcept C176217482 @default.
- W2296244148 hasConcept C187736073 @default.
- W2296244148 hasConcept C189430467 @default.
- W2296244148 hasConcept C21547014 @default.
- W2296244148 hasConcept C21569690 @default.
- W2296244148 hasConcept C23123220 @default.
- W2296244148 hasConcept C2780451532 @default.
- W2296244148 hasConcept C33923547 @default.
- W2296244148 hasConcept C41008148 @default.
- W2296244148 hasConcept C557471498 @default.
- W2296244148 hasConcept C86037889 @default.
- W2296244148 hasConceptScore W2296244148C105795698 @default.
- W2296244148 hasConceptScore W2296244148C114614502 @default.
- W2296244148 hasConceptScore W2296244148C119857082 @default.
- W2296244148 hasConceptScore W2296244148C124101348 @default.
- W2296244148 hasConceptScore W2296244148C124975894 @default.
- W2296244148 hasConceptScore W2296244148C139945424 @default.
- W2296244148 hasConceptScore W2296244148C154945302 @default.
- W2296244148 hasConceptScore W2296244148C162324750 @default.
- W2296244148 hasConceptScore W2296244148C164226766 @default.
- W2296244148 hasConceptScore W2296244148C176217482 @default.
- W2296244148 hasConceptScore W2296244148C187736073 @default.
- W2296244148 hasConceptScore W2296244148C189430467 @default.
- W2296244148 hasConceptScore W2296244148C21547014 @default.
- W2296244148 hasConceptScore W2296244148C21569690 @default.
- W2296244148 hasConceptScore W2296244148C23123220 @default.
- W2296244148 hasConceptScore W2296244148C2780451532 @default.
- W2296244148 hasConceptScore W2296244148C33923547 @default.
- W2296244148 hasConceptScore W2296244148C41008148 @default.
- W2296244148 hasConceptScore W2296244148C557471498 @default.
- W2296244148 hasConceptScore W2296244148C86037889 @default.
- W2296244148 hasLocation W22962441481 @default.
- W2296244148 hasOpenAccess W2296244148 @default.
- W2296244148 hasPrimaryLocation W22962441481 @default.
- W2296244148 hasRelatedWork W161037631 @default.
- W2296244148 hasRelatedWork W1786507113 @default.
- W2296244148 hasRelatedWork W2293317945 @default.
- W2296244148 hasRelatedWork W2296244148 @default.
- W2296244148 hasRelatedWork W2364400397 @default.
- W2296244148 hasRelatedWork W2483845706 @default.
- W2296244148 hasRelatedWork W4312091775 @default.
- W2296244148 hasRelatedWork W4318960487 @default.
- W2296244148 hasRelatedWork W7602594 @default.
- W2296244148 hasRelatedWork W2513089531 @default.
- W2296244148 isParatext "false" @default.
- W2296244148 isRetracted "false" @default.
- W2296244148 magId "2296244148" @default.
- W2296244148 workType "article" @default.