Matches in SemOpenAlex for { <https://semopenalex.org/work/W2767696711> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2767696711 abstract "Top-k recommendation seeks to deliver a personalized recommendation list of k items to a user. The dual objectives are (1) accuracy in identifying the items a user is likely to prefer, and (2) efficiency in constructing the recommendation list in real time. One direction towards retrieval efficiency is to formulate retrieval as approximate k nearest neighbor (kNN) search aided by indexing schemes, such as locality-sensitive hashing, spatial trees, and inverted index. These schemes, applied on the output representations of recommendation algorithms, speed up the retrieval process by automatically discarding a large number of potentially irrelevant items when given a user query vector. However, many previous recommendation algorithms produce representations that may not necessarily align well with the structural properties of these indexing schemes, eventually resulting in a significant loss of accuracy post-indexing. In this paper, we introduce Indexable Bayesian Personalized Ranking (IBPR) that learns from ordinal preference to produce representation that is inherently compatible with the aforesaid indices. Experiments on publicly available datasets show superior performance of the proposed model compared to state-of-the-art methods on top-k recommendation retrieval task, achieving significant speedup while maintaining high accuracy." @default.
- W2767696711 created "2017-11-17" @default.
- W2767696711 creator A5028009427 @default.
- W2767696711 creator A5065067629 @default.
- W2767696711 date "2017-11-06" @default.
- W2767696711 modified "2023-10-18" @default.
- W2767696711 title "Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation" @default.
- W2767696711 cites W1971187657 @default.
- W2767696711 cites W1974627246 @default.
- W2767696711 cites W1978475816 @default.
- W2767696711 cites W1981844236 @default.
- W2767696711 cites W2010416066 @default.
- W2767696711 cites W2012833704 @default.
- W2767696711 cites W2054141820 @default.
- W2767696711 cites W2059851891 @default.
- W2767696711 cites W2064754513 @default.
- W2767696711 cites W2085040216 @default.
- W2767696711 cites W2111138053 @default.
- W2767696711 cites W2152825437 @default.
- W2767696711 cites W2162006472 @default.
- W2767696711 cites W2165558283 @default.
- W2767696711 cites W2169053198 @default.
- W2767696711 cites W2336920772 @default.
- W2767696711 cites W2567214097 @default.
- W2767696711 doi "https://doi.org/10.1145/3132847.3132913" @default.
- W2767696711 hasPublicationYear "2017" @default.
- W2767696711 type Work @default.
- W2767696711 sameAs 2767696711 @default.
- W2767696711 citedByCount "4" @default.
- W2767696711 countsByYear W27676967112019 @default.
- W2767696711 countsByYear W27676967112022 @default.
- W2767696711 countsByYear W27676967112023 @default.
- W2767696711 crossrefType "proceedings-article" @default.
- W2767696711 hasAuthorship W2767696711A5028009427 @default.
- W2767696711 hasAuthorship W2767696711A5065067629 @default.
- W2767696711 hasBestOaLocation W27676967112 @default.
- W2767696711 hasConcept C107673813 @default.
- W2767696711 hasConcept C111919701 @default.
- W2767696711 hasConcept C124101348 @default.
- W2767696711 hasConcept C130590232 @default.
- W2767696711 hasConcept C154945302 @default.
- W2767696711 hasConcept C189430467 @default.
- W2767696711 hasConcept C23123220 @default.
- W2767696711 hasConcept C41008148 @default.
- W2767696711 hasConcept C557471498 @default.
- W2767696711 hasConcept C68339613 @default.
- W2767696711 hasConcept C75165309 @default.
- W2767696711 hasConceptScore W2767696711C107673813 @default.
- W2767696711 hasConceptScore W2767696711C111919701 @default.
- W2767696711 hasConceptScore W2767696711C124101348 @default.
- W2767696711 hasConceptScore W2767696711C130590232 @default.
- W2767696711 hasConceptScore W2767696711C154945302 @default.
- W2767696711 hasConceptScore W2767696711C189430467 @default.
- W2767696711 hasConceptScore W2767696711C23123220 @default.
- W2767696711 hasConceptScore W2767696711C41008148 @default.
- W2767696711 hasConceptScore W2767696711C557471498 @default.
- W2767696711 hasConceptScore W2767696711C68339613 @default.
- W2767696711 hasConceptScore W2767696711C75165309 @default.
- W2767696711 hasFunder F4320320709 @default.
- W2767696711 hasLocation W27676967111 @default.
- W2767696711 hasLocation W27676967112 @default.
- W2767696711 hasOpenAccess W2767696711 @default.
- W2767696711 hasPrimaryLocation W27676967111 @default.
- W2767696711 hasRelatedWork W130381036 @default.
- W2767696711 hasRelatedWork W1544843123 @default.
- W2767696711 hasRelatedWork W1635337451 @default.
- W2767696711 hasRelatedWork W1668273999 @default.
- W2767696711 hasRelatedWork W1940136973 @default.
- W2767696711 hasRelatedWork W2214629681 @default.
- W2767696711 hasRelatedWork W2413339343 @default.
- W2767696711 hasRelatedWork W2553206896 @default.
- W2767696711 hasRelatedWork W2923479330 @default.
- W2767696711 hasRelatedWork W3140834074 @default.
- W2767696711 isParatext "false" @default.
- W2767696711 isRetracted "false" @default.
- W2767696711 magId "2767696711" @default.
- W2767696711 workType "article" @default.