FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2117600734> ?p ?o ?g. }

• W2117600734 endingPage "436" @default.
• W2117600734 startingPage "399" @default.
• W2117600734 abstract "Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The few approaches that avoid this have rather unsatisfyingly lacked theoretical foundations, or do not scale. We present a learning-to-rank formulation that optimizes the fraction of satisfied users, with several scalable algorithms that explicitly takes document similarity and ranking context into account. Our formulation is a non-trivial common generalization of two multi-armed bandit models from the literature: ranked bandits (Radlinski et al., 2008) and Lipschitz bandits (Kleinberg et al., 2008b). We present theoretical justifications for this approach, as well as a near-optimal algorithm. Our evaluation adds optimizations that improve empirical performance, and shows that our algorithms learn orders of magnitude more quickly than previous approaches." @default.
• W2117600734 created "2016-06-24" @default.
• W2117600734 creator A5039201046 @default.
• W2117600734 creator A5058550942 @default.
• W2117600734 creator A5081692910 @default.
• W2117600734 date "2013-01-01" @default.
• W2117600734 modified "2023-09-28" @default.
• W2117600734 title "Ranked bandits in metric spaces: learning diverse rankings over large document collections" @default.
• W2117600734 cites W1487320471 @default.
• W2117600734 cites W1488797257 @default.
• W2117600734 cites W1508384000 @default.
• W2117600734 cites W1521084402 @default.
• W2117600734 cites W1552364668 @default.
• W2117600734 cites W1569127318 @default.
• W2117600734 cites W1570963478 @default.
• W2117600734 cites W1625390266 @default.
• W2117600734 cites W2004001705 @default.
• W2117600734 cites W2008098735 @default.
• W2117600734 cites W2009551863 @default.
• W2117600734 cites W2010189695 @default.
• W2117600734 cites W2012731843 @default.
• W2117600734 cites W2023599408 @default.
• W2117600734 cites W2047221353 @default.
• W2117600734 cites W2049934117 @default.
• W2117600734 cites W2059001985 @default.
• W2117600734 cites W2065398693 @default.
• W2117600734 cites W2077902449 @default.
• W2117600734 cites W2082353536 @default.
• W2117600734 cites W2083305840 @default.
• W2117600734 cites W2097487180 @default.
• W2117600734 cites W2105066050 @default.
• W2117600734 cites W2108114251 @default.
• W2117600734 cites W2108817391 @default.
• W2117600734 cites W2112420033 @default.
• W2117600734 cites W2114493937 @default.
• W2117600734 cites W2115519224 @default.
• W2117600734 cites W2120090487 @default.
• W2117600734 cites W2120745256 @default.
• W2117600734 cites W2121671791 @default.
• W2117600734 cites W2122422466 @default.
• W2117600734 cites W2127248062 @default.
• W2117600734 cites W2133282568 @default.
• W2117600734 cites W2135414222 @default.
• W2117600734 cites W2138859735 @default.
• W2117600734 cites W2138909795 @default.
• W2117600734 cites W2142575165 @default.
• W2117600734 cites W2143331230 @default.
• W2117600734 cites W2158858912 @default.
• W2117600734 cites W2161551046 @default.
• W2117600734 cites W2168405694 @default.
• W2117600734 cites W2169511307 @default.
• W2117600734 cites W2268509491 @default.
• W2117600734 cites W2307171036 @default.
• W2117600734 cites W2401264332 @default.
• W2117600734 cites W2476943949 @default.
• W2117600734 cites W2519411794 @default.
• W2117600734 cites W263845233 @default.
• W2117600734 cites W2951665052 @default.
• W2117600734 cites W2964341565 @default.
• W2117600734 cites W46877293 @default.
• W2117600734 cites W9937762 @default.
• W2117600734 cites W1502701425 @default.
• W2117600734 hasPublicationYear "2013" @default.
• W2117600734 type Work @default.
• W2117600734 sameAs 2117600734 @default.
• W2117600734 citedByCount "28" @default.
• W2117600734 countsByYear W21176007342014 @default.
• W2117600734 countsByYear W21176007342015 @default.
• W2117600734 countsByYear W21176007342016 @default.
• W2117600734 countsByYear W21176007342017 @default.
• W2117600734 countsByYear W21176007342018 @default.
• W2117600734 countsByYear W21176007342019 @default.
• W2117600734 countsByYear W21176007342020 @default.
• W2117600734 crossrefType "journal-article" @default.
• W2117600734 hasAuthorship W2117600734A5039201046 @default.
• W2117600734 hasAuthorship W2117600734A5058550942 @default.
• W2117600734 hasAuthorship W2117600734A5081692910 @default.
• W2117600734 hasConcept C103278499 @default.
• W2117600734 hasConcept C114614502 @default.
• W2117600734 hasConcept C115961682 @default.
• W2117600734 hasConcept C119857082 @default.
• W2117600734 hasConcept C134306372 @default.
• W2117600734 hasConcept C149629883 @default.
• W2117600734 hasConcept C151730666 @default.
• W2117600734 hasConcept C154945302 @default.
• W2117600734 hasConcept C162324750 @default.
• W2117600734 hasConcept C164226766 @default.
• W2117600734 hasConcept C176217482 @default.
• W2117600734 hasConcept C177148314 @default.
• W2117600734 hasConcept C178790620 @default.
• W2117600734 hasConcept C185592680 @default.
• W2117600734 hasConcept C189430467 @default.
• W2117600734 hasConcept C21547014 @default.
• W2117600734 hasConcept C2779343474 @default.
• W2117600734 hasConcept C33923547 @default.
• W2117600734 hasConcept C41008148 @default.
• W2117600734 hasConcept C48044578 @default.
• W2117600734 hasConcept C77088390 @default.

• next