FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2965185552> ?p ?o ?g. }

• W2965185552 abstract "In recent years, emph{search story}, a combined display with other organic channels, has become a major source of user traffic on platforms such as e-commerce search platforms, news feed platforms and web and image search platforms. The recommended search story guides a user to identify her own preference and personal intent, which subsequently influences the user's real-time and long-term search behavior. %With such an increased importance of search stories, As search stories become increasingly important, in this work, we study the problem of personalized search story recommendation within a search engine, which aims to suggest a search story relevant to both a search keyword and an individual user's interest. To address the challenge of modeling both immediate and future values of recommended search stories (i.e., cross-channel effect), for which conventional supervised learning framework is not applicable, we resort to a Markov decision process and propose a deep reinforcement learning architecture trained by both imitation learning and reinforcement learning. We empirically demonstrate the effectiveness of our proposed approach through extensive experiments on real-world data sets from JD.com." @default.
• W2965185552 created "2019-08-13" @default.
• W2965185552 creator A5001978013 @default.
• W2965185552 creator A5022377869 @default.
• W2965185552 creator A5025107689 @default.
• W2965185552 creator A5054483605 @default.
• W2965185552 creator A5089218006 @default.
• W2965185552 date "2019-07-26" @default.
• W2965185552 modified "2023-10-14" @default.
• W2965185552 title "Deep Reinforcement Learning for Personalized Search Story Recommendation" @default.
• W2965185552 cites W1491843047 @default.
• W2965185552 cites W1771410628 @default.
• W2965185552 cites W1994389483 @default.
• W2965185552 cites W2023599408 @default.
• W2965185552 cites W2042281163 @default.
• W2965185552 cites W2054141820 @default.
• W2965185552 cites W2072837080 @default.
• W2965185552 cites W2091780923 @default.
• W2965185552 cites W2099866409 @default.
• W2965185552 cites W2112420033 @default.
• W2965185552 cites W2119384858 @default.
• W2965185552 cites W2122124659 @default.
• W2965185552 cites W2132400125 @default.
• W2965185552 cites W2137028279 @default.
• W2965185552 cites W2145339207 @default.
• W2965185552 cites W2155968351 @default.
• W2965185552 cites W2157881433 @default.
• W2965185552 cites W2165150801 @default.
• W2965185552 cites W2173248099 @default.
• W2965185552 cites W2173564293 @default.
• W2965185552 cites W2251007294 @default.
• W2965185552 cites W2257979135 @default.
• W2965185552 cites W2262817822 @default.
• W2965185552 cites W2275802500 @default.
• W2965185552 cites W2290354866 @default.
• W2965185552 cites W2410983263 @default.
• W2965185552 cites W2487501366 @default.
• W2965185552 cites W2512965516 @default.
• W2965185552 cites W2512971201 @default.
• W2965185552 cites W2580175322 @default.
• W2965185552 cites W2732801024 @default.
• W2965185552 cites W2736601468 @default.
• W2965185552 cites W2745868649 @default.
• W2965185552 cites W2787933113 @default.
• W2965185552 cites W2790532312 @default.
• W2965185552 cites W2948177721 @default.
• W2965185552 cites W2948513753 @default.
• W2965185552 cites W2949608212 @default.
• W2965185552 cites W2953316038 @default.
• W2965185552 cites W2963430173 @default.
• W2965185552 cites W2963440040 @default.
• W2965185552 cites W2963842088 @default.
• W2965185552 cites W2963842262 @default.
• W2965185552 cites W2964043796 @default.
• W2965185552 cites W2964161785 @default.
• W2965185552 cites W3105140685 @default.
• W2965185552 doi "https://doi.org/10.48550/arxiv.1907.11754" @default.
• W2965185552 hasPublicationYear "2019" @default.
• W2965185552 type Work @default.
• W2965185552 sameAs 2965185552 @default.
• W2965185552 citedByCount "0" @default.
• W2965185552 crossrefType "posted-content" @default.
• W2965185552 hasAuthorship W2965185552A5001978013 @default.
• W2965185552 hasAuthorship W2965185552A5022377869 @default.
• W2965185552 hasAuthorship W2965185552A5025107689 @default.
• W2965185552 hasAuthorship W2965185552A5054483605 @default.
• W2965185552 hasAuthorship W2965185552A5089218006 @default.
• W2965185552 hasBestOaLocation W29651855521 @default.
• W2965185552 hasConcept C105795698 @default.
• W2965185552 hasConcept C106189395 @default.
• W2965185552 hasConcept C111919701 @default.
• W2965185552 hasConcept C11413529 @default.
• W2965185552 hasConcept C119857082 @default.
• W2965185552 hasConcept C126388530 @default.
• W2965185552 hasConcept C136764020 @default.
• W2965185552 hasConcept C14838553 @default.
• W2965185552 hasConcept C154945302 @default.
• W2965185552 hasConcept C15744967 @default.
• W2965185552 hasConcept C159886148 @default.
• W2965185552 hasConcept C162324750 @default.
• W2965185552 hasConcept C164120249 @default.
• W2965185552 hasConcept C166423231 @default.
• W2965185552 hasConcept C175444787 @default.
• W2965185552 hasConcept C201789804 @default.
• W2965185552 hasConcept C23123220 @default.
• W2965185552 hasConcept C2776945383 @default.
• W2965185552 hasConcept C2781249084 @default.
• W2965185552 hasConcept C33923547 @default.
• W2965185552 hasConcept C41008148 @default.
• W2965185552 hasConcept C77805123 @default.
• W2965185552 hasConcept C97541855 @default.
• W2965185552 hasConcept C97854310 @default.
• W2965185552 hasConcept C98045186 @default.
• W2965185552 hasConceptScore W2965185552C105795698 @default.
• W2965185552 hasConceptScore W2965185552C106189395 @default.
• W2965185552 hasConceptScore W2965185552C111919701 @default.
• W2965185552 hasConceptScore W2965185552C11413529 @default.
• W2965185552 hasConceptScore W2965185552C119857082 @default.
• W2965185552 hasConceptScore W2965185552C126388530 @default.
• W2965185552 hasConceptScore W2965185552C136764020 @default.

• next