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Towards Social Big Data-Based Affective Group Recommendation

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0 Published in 2018 at "Mobile Networks and Applications"

DOI: 10.1007/s11036-018-1076-1

Abstract: Social big data is currently an emergent issue, especially for recommender systems. In particular, with respect to social big data, various data mining techniques have been applied in group recommender systems. However, three social phenomena… read more here.

Keywords: big data; social big; affective group; group ... See more keywords

Group Recommendation Based on Heterogeneous Graph Algorithm for EBSNs

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2 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2022.3224598

Abstract: Emerging event-based social networks (EBSNs), such as Meetup, have grown rapidly and become popular in recent years. EBSNs differ from conventional social networks such as Facebook in that they not only involve online social interactions… read more here.

Keywords: recommendation; algorithm; group; graph ... See more keywords

HetGRec: Heterogeneous Graph Attention Network for Group Recommendation

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2 Published in 2023 at "IEEE Intelligent Systems"

DOI: 10.1109/mis.2022.3211074

Abstract: Due to the popularity of group activities in social media, group recommendation becomes increasingly significant. It aims to pursue a list of preferred items for a target group. Recently, some methods perform graph neural network… read more here.

Keywords: attention network; group; graph; group recommendation ... See more keywords

Social-Enhanced Attentive Group Recommendation

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0 Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2019.2936475

Abstract: With the proliferation of social networks, group activities have become an essential ingredient of our daily life. A growing number of users share their group activities online and invite their friends to join in. This… read more here.

Keywords: attention; group members; group recommendation; recommendation ... See more keywords

A Hierarchical Attention Network for Cross-Domain Group Recommendation.

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1 Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3200480

Abstract: Many online services allow users to participate in various group activities such as online meeting or group buying, and thus need to provide user groups with services that they are interested. The group recommender systems… read more here.

Keywords: group; group recommendation; domain; cross domain ... See more keywords