Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367016446> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4367016446 abstract "Session-based recommendation aims to predict the next clicked item using the current ongoing session of an anonymous user. Since the user's information is unknown, the available information is limited. In recent years, due to the excellent performance of graph neural networks in many applications, many works have applied graph neural networks to session-based recommendation. However, we found that the conversion of session data into graph-structured data is a lossy graph encoding method, which leads to the loss of item order information in the session. In addition, only one session can be used for recommendation in session-based recommendation. Compared with other recommendations, the problem of data sparsity is more serious. Self-supervised learning can discover ground-truth samples and has great potential in solving the data sparsity problem. Therefore, we propose a session-based recommendation model based on graph neural network and contrastive learning to solve the problem of information loss and data sparsity in graph encoding. Extensive experiments on three benchmark datasets demonstrate that our model outperforms other methods." @default.
- W4367016446 created "2023-04-27" @default.
- W4367016446 creator A5033263947 @default.
- W4367016446 creator A5060207778 @default.
- W4367016446 creator A5081673829 @default.
- W4367016446 creator A5090691485 @default.
- W4367016446 date "2023-02-24" @default.
- W4367016446 modified "2023-10-14" @default.
- W4367016446 title "Session-based Recommendation with Temporal Graph Neural Network and Contrastive Learning" @default.
- W4367016446 cites W2171279286 @default.
- W4367016446 cites W2512965516 @default.
- W4367016446 cites W2964926209 @default.
- W4367016446 cites W3035524453 @default.
- W4367016446 cites W3080292067 @default.
- W4367016446 cites W3080374445 @default.
- W4367016446 cites W3100260481 @default.
- W4367016446 cites W3101201690 @default.
- W4367016446 cites W3101707147 @default.
- W4367016446 cites W3166827814 @default.
- W4367016446 cites W3173151551 @default.
- W4367016446 cites W3173365306 @default.
- W4367016446 cites W3185693672 @default.
- W4367016446 cites W4210257598 @default.
- W4367016446 doi "https://doi.org/10.1109/nnice58320.2023.10105727" @default.
- W4367016446 hasPublicationYear "2023" @default.
- W4367016446 type Work @default.
- W4367016446 citedByCount "0" @default.
- W4367016446 crossrefType "proceedings-article" @default.
- W4367016446 hasAuthorship W4367016446A5033263947 @default.
- W4367016446 hasAuthorship W4367016446A5060207778 @default.
- W4367016446 hasAuthorship W4367016446A5081673829 @default.
- W4367016446 hasAuthorship W4367016446A5090691485 @default.
- W4367016446 hasConcept C119857082 @default.
- W4367016446 hasConcept C125411270 @default.
- W4367016446 hasConcept C132525143 @default.
- W4367016446 hasConcept C13280743 @default.
- W4367016446 hasConcept C136764020 @default.
- W4367016446 hasConcept C154945302 @default.
- W4367016446 hasConcept C185798385 @default.
- W4367016446 hasConcept C205649164 @default.
- W4367016446 hasConcept C2779182362 @default.
- W4367016446 hasConcept C41008148 @default.
- W4367016446 hasConcept C50644808 @default.
- W4367016446 hasConcept C557471498 @default.
- W4367016446 hasConcept C80444323 @default.
- W4367016446 hasConceptScore W4367016446C119857082 @default.
- W4367016446 hasConceptScore W4367016446C125411270 @default.
- W4367016446 hasConceptScore W4367016446C132525143 @default.
- W4367016446 hasConceptScore W4367016446C13280743 @default.
- W4367016446 hasConceptScore W4367016446C136764020 @default.
- W4367016446 hasConceptScore W4367016446C154945302 @default.
- W4367016446 hasConceptScore W4367016446C185798385 @default.
- W4367016446 hasConceptScore W4367016446C205649164 @default.
- W4367016446 hasConceptScore W4367016446C2779182362 @default.
- W4367016446 hasConceptScore W4367016446C41008148 @default.
- W4367016446 hasConceptScore W4367016446C50644808 @default.
- W4367016446 hasConceptScore W4367016446C557471498 @default.
- W4367016446 hasConceptScore W4367016446C80444323 @default.
- W4367016446 hasLocation W43670164461 @default.
- W4367016446 hasOpenAccess W4367016446 @default.
- W4367016446 hasPrimaryLocation W43670164461 @default.
- W4367016446 hasRelatedWork W2369936857 @default.
- W4367016446 hasRelatedWork W2809363009 @default.
- W4367016446 hasRelatedWork W2883909875 @default.
- W4367016446 hasRelatedWork W2968745142 @default.
- W4367016446 hasRelatedWork W3198457408 @default.
- W4367016446 hasRelatedWork W4205122356 @default.
- W4367016446 hasRelatedWork W4207015948 @default.
- W4367016446 hasRelatedWork W4283813840 @default.
- W4367016446 hasRelatedWork W4307100037 @default.
- W4367016446 hasRelatedWork W1629725936 @default.
- W4367016446 isParatext "false" @default.
- W4367016446 isRetracted "false" @default.
- W4367016446 workType "article" @default.