Matches in SemOpenAlex for { <https://semopenalex.org/work/W2736157076> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2736157076 abstract "Recommender systems generate recommendations by analysing which items the user consumes or likes. Moreover, in many scenarios, e.g., when a user is visiting an exhibition or a city, users are faced with a sequence of decisions, and the recommender should therefore suggest, at each decision step, a set of viable recommendations (attractions). In these scenarios the order and the context of the past user choices is a valuable source of data, and the recommender has to effectively exploit this information for understanding the user preferences in order to recommend compelling items. For addressing these scenarios, this paper proposes a novel preference learning model that takes into account the sequential nature of item consumption. The model is based on Inverse Reinforcement Learning, which enables to exploit observations of users' behaviours, when they are making decisions and taking actions, i.e., choosing the items to consume. The results of a proof of concept experiment show that the proposed model can effectively capture the user preferences, the rationale of users decision making process when consuming items in a sequential manner, and can replicate the observed user behaviours." @default.
- W2736157076 created "2017-07-21" @default.
- W2736157076 creator A5027527915 @default.
- W2736157076 creator A5039366726 @default.
- W2736157076 creator A5090179530 @default.
- W2736157076 date "2017-07-09" @default.
- W2736157076 modified "2023-10-16" @default.
- W2736157076 title "Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space" @default.
- W2736157076 cites W1968563228 @default.
- W2736157076 cites W1978609982 @default.
- W2736157076 cites W2003214044 @default.
- W2736157076 cites W2018143268 @default.
- W2736157076 cites W2031571562 @default.
- W2736157076 cites W2062978452 @default.
- W2736157076 cites W2088900221 @default.
- W2736157076 cites W2101409192 @default.
- W2736157076 cites W2467943144 @default.
- W2736157076 doi "https://doi.org/10.1145/3099023.3099070" @default.
- W2736157076 hasPublicationYear "2017" @default.
- W2736157076 type Work @default.
- W2736157076 sameAs 2736157076 @default.
- W2736157076 citedByCount "13" @default.
- W2736157076 countsByYear W27361570762017 @default.
- W2736157076 countsByYear W27361570762018 @default.
- W2736157076 countsByYear W27361570762019 @default.
- W2736157076 countsByYear W27361570762020 @default.
- W2736157076 countsByYear W27361570762021 @default.
- W2736157076 countsByYear W27361570762022 @default.
- W2736157076 countsByYear W27361570762023 @default.
- W2736157076 crossrefType "proceedings-article" @default.
- W2736157076 hasAuthorship W2736157076A5027527915 @default.
- W2736157076 hasAuthorship W2736157076A5039366726 @default.
- W2736157076 hasAuthorship W2736157076A5090179530 @default.
- W2736157076 hasConcept C107457646 @default.
- W2736157076 hasConcept C111919701 @default.
- W2736157076 hasConcept C136764020 @default.
- W2736157076 hasConcept C199360897 @default.
- W2736157076 hasConcept C2775877400 @default.
- W2736157076 hasConcept C2778572836 @default.
- W2736157076 hasConcept C31258907 @default.
- W2736157076 hasConcept C41008148 @default.
- W2736157076 hasConcept C49774154 @default.
- W2736157076 hasConcept C67712803 @default.
- W2736157076 hasConcept C81860439 @default.
- W2736157076 hasConcept C89505385 @default.
- W2736157076 hasConceptScore W2736157076C107457646 @default.
- W2736157076 hasConceptScore W2736157076C111919701 @default.
- W2736157076 hasConceptScore W2736157076C136764020 @default.
- W2736157076 hasConceptScore W2736157076C199360897 @default.
- W2736157076 hasConceptScore W2736157076C2775877400 @default.
- W2736157076 hasConceptScore W2736157076C2778572836 @default.
- W2736157076 hasConceptScore W2736157076C31258907 @default.
- W2736157076 hasConceptScore W2736157076C41008148 @default.
- W2736157076 hasConceptScore W2736157076C49774154 @default.
- W2736157076 hasConceptScore W2736157076C67712803 @default.
- W2736157076 hasConceptScore W2736157076C81860439 @default.
- W2736157076 hasConceptScore W2736157076C89505385 @default.
- W2736157076 hasLocation W27361570761 @default.
- W2736157076 hasOpenAccess W2736157076 @default.
- W2736157076 hasPrimaryLocation W27361570761 @default.
- W2736157076 hasRelatedWork W1545952821 @default.
- W2736157076 hasRelatedWork W1590657835 @default.
- W2736157076 hasRelatedWork W1602935914 @default.
- W2736157076 hasRelatedWork W1803586643 @default.
- W2736157076 hasRelatedWork W2109922343 @default.
- W2736157076 hasRelatedWork W2111057027 @default.
- W2736157076 hasRelatedWork W2111975417 @default.
- W2736157076 hasRelatedWork W2394454866 @default.
- W2736157076 hasRelatedWork W2741711008 @default.
- W2736157076 hasRelatedWork W4247286408 @default.
- W2736157076 isParatext "false" @default.
- W2736157076 isRetracted "false" @default.
- W2736157076 magId "2736157076" @default.
- W2736157076 workType "article" @default.