Articles with "aware recommendation" as a keyword



Evaluation of context‐aware recommendation systems for information re‐finding

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Published in 2017 at "Journal of the Association for Information Science and Technology"

DOI: 10.1002/asi.23717

Abstract: In this article we evaluate context‐aware recommendation systems for information re‐finding by knowledge workers. We identify 4 criteria that are relevant for evaluating the quality of knowledge worker support: context relevance, document relevance, prediction of… read more here.

Keywords: recommendation; context; information finding; aware recommendation ... See more keywords

Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation

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Published in 2020 at "Journal of Computer Science and Technology"

DOI: 10.1007/s11390-020-9956-9

Abstract: Recent years have witnessed the rapid development of online social platforms, which effectively support the business intelligence and provide services for massive users. Along this line, large efforts have been made on the social-aware recommendation… read more here.

Keywords: structural temporal; dynamic social; aware recommendation; social aware ... See more keywords

Neural Session-Aware Recommendation

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2926074

Abstract: Recommender systems help users find items they are likely to interact within the near future, such as products to buy in e-commerce or songs to play in music websites. The Traditional recommendation methods make predictions… read more here.

Keywords: aware recommendation; session aware; term; session ... See more keywords

Accurate multi-behavior sequence-aware recommendation via graph convolution networks

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Published in 2025 at "PLOS ONE"

DOI: 10.1371/journal.pone.0314282

Abstract: How can we recommend items to users utilizing multiple types of user behavior data? Multi-behavior recommender systems leverage various types of user behavior data to enhance recommendation performance for the target behavior. These systems aim… read more here.

Keywords: aware recommendation; sequence aware; multi behavior; recommendation ... See more keywords

Hierarchical Self-Supervised Learning for Knowledge-Aware Recommendation

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Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14209394

Abstract: Knowledge-aware recommendation systems have shown superior performance by connecting user item interaction graph (UIG) with knowledge graph (KG) and enriching semantic connections collected by the corresponding networks. Among the existing methods, self-supervised learning has attracted… read more here.

Keywords: aware recommendation; self supervised; knowledge; supervised learning ... See more keywords