Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384642752> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4384642752 abstract "Next Point-of-Interest (POI) recommendation is an essential part of the flourishing location-based applications, where the demands of users are not only conditioned by their recent check-in behaviors but also by the critical influence stemming from geographical dependencies among POIs. Existing methods leverage Graph Neural Networks with the aid of pre-defined POI graphs to capture such indispensable correlations for modeling user preferences, assuming that the appropriate geographical dependencies among POIs could be pre-determined. However, the pre-defined graph structures are always far from the optimal graph topology due to noise and adaptability issues, which may decrease the expressivity of learned POI representations as well as the credibility of modeling user preferences. In this paper, we propose a novel Adaptive Graph Representation-enhanced Attention Network (AGRAN) for next POI recommendation, which explores the utilization of graph structure learning to replace the pre-defined static graphs for learning more expressive representations of POIs. In particular, we develop an adaptive POI graph matrix and learn it via similarity learning with POI embeddings, automatically capturing the underlying geographical dependencies for representation learning. Afterward, we incorporate the learned representations of POIs and personalized spatial-temporal information with an extension to the self-attention mechanism for capturing dynamic user preferences. Extensive experiments conducted on two real-world datasets validate the superior performance of our proposed method over state-of-the-art baselines." @default.
- W4384642752 created "2023-07-19" @default.
- W4384642752 creator A5011919005 @default.
- W4384642752 creator A5012169185 @default.
- W4384642752 creator A5012589427 @default.
- W4384642752 creator A5051234208 @default.
- W4384642752 creator A5060171629 @default.
- W4384642752 creator A5081759167 @default.
- W4384642752 date "2023-07-18" @default.
- W4384642752 modified "2023-10-01" @default.
- W4384642752 title "Adaptive Graph Representation Learning for Next POI Recommendation" @default.
- W4384642752 cites W2051549110 @default.
- W4384642752 cites W2171279286 @default.
- W4384642752 cites W2319358180 @default.
- W4384642752 cites W2531384334 @default.
- W4384642752 cites W2539781657 @default.
- W4384642752 cites W2728796024 @default.
- W4384642752 cites W2803831897 @default.
- W4384642752 cites W2808425487 @default.
- W4384642752 cites W2947144452 @default.
- W4384642752 cites W3034912136 @default.
- W4384642752 cites W3040157551 @default.
- W4384642752 cites W3045200674 @default.
- W4384642752 cites W3080292238 @default.
- W4384642752 cites W3081170586 @default.
- W4384642752 cites W3081203761 @default.
- W4384642752 cites W3131501576 @default.
- W4384642752 cites W3178835722 @default.
- W4384642752 cites W4213457653 @default.
- W4384642752 cites W4284668299 @default.
- W4384642752 cites W4284679298 @default.
- W4384642752 cites W4290874961 @default.
- W4384642752 cites W4290943973 @default.
- W4384642752 doi "https://doi.org/10.1145/3539618.3591634" @default.
- W4384642752 hasPublicationYear "2023" @default.
- W4384642752 type Work @default.
- W4384642752 citedByCount "0" @default.
- W4384642752 crossrefType "proceedings-article" @default.
- W4384642752 hasAuthorship W4384642752A5011919005 @default.
- W4384642752 hasAuthorship W4384642752A5012169185 @default.
- W4384642752 hasAuthorship W4384642752A5012589427 @default.
- W4384642752 hasAuthorship W4384642752A5051234208 @default.
- W4384642752 hasAuthorship W4384642752A5060171629 @default.
- W4384642752 hasAuthorship W4384642752A5081759167 @default.
- W4384642752 hasConcept C119857082 @default.
- W4384642752 hasConcept C132525143 @default.
- W4384642752 hasConcept C153083717 @default.
- W4384642752 hasConcept C154945302 @default.
- W4384642752 hasConcept C177606310 @default.
- W4384642752 hasConcept C18903297 @default.
- W4384642752 hasConcept C41008148 @default.
- W4384642752 hasConcept C59404180 @default.
- W4384642752 hasConcept C80444323 @default.
- W4384642752 hasConcept C86803240 @default.
- W4384642752 hasConceptScore W4384642752C119857082 @default.
- W4384642752 hasConceptScore W4384642752C132525143 @default.
- W4384642752 hasConceptScore W4384642752C153083717 @default.
- W4384642752 hasConceptScore W4384642752C154945302 @default.
- W4384642752 hasConceptScore W4384642752C177606310 @default.
- W4384642752 hasConceptScore W4384642752C18903297 @default.
- W4384642752 hasConceptScore W4384642752C41008148 @default.
- W4384642752 hasConceptScore W4384642752C59404180 @default.
- W4384642752 hasConceptScore W4384642752C80444323 @default.
- W4384642752 hasConceptScore W4384642752C86803240 @default.
- W4384642752 hasLocation W43846427521 @default.
- W4384642752 hasOpenAccess W4384642752 @default.
- W4384642752 hasPrimaryLocation W43846427521 @default.
- W4384642752 hasRelatedWork W2804057010 @default.
- W4384642752 hasRelatedWork W2961085424 @default.
- W4384642752 hasRelatedWork W2980233312 @default.
- W4384642752 hasRelatedWork W2989955213 @default.
- W4384642752 hasRelatedWork W3087493185 @default.
- W4384642752 hasRelatedWork W3094605108 @default.
- W4384642752 hasRelatedWork W3158586592 @default.
- W4384642752 hasRelatedWork W4206762304 @default.
- W4384642752 hasRelatedWork W4307206737 @default.
- W4384642752 hasRelatedWork W4367684998 @default.
- W4384642752 isParatext "false" @default.
- W4384642752 isRetracted "false" @default.
- W4384642752 workType "article" @default.