Abstract | ||
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In order to innovatively solve cold-start problems, research involving trust and socially aware recommender systems is currently proliferating. The relative importance of academic conferences has led to the necessity of recommender systems that seek to generate recommendations for conference attendees. In this paper, we aim to improve the recommendation accuracy of socially-aware recommender syste... |
Year | DOI | Venue |
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2018 | 10.1109/TAFFC.2017.2695605 | IEEE Transactions on Affective Computing |
Keywords | Field | DocType |
Recommender systems,Social network services,Collaboration,Face recognition | Recommender system,Social psychology,World Wide Web,Psychology,Personality | Journal |
Volume | Issue | ISSN |
9 | 3 | 1949-3045 |
Citations | PageRank | References |
2 | 0.35 | 35 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nana Yaw Asabere | 1 | 87 | 6.31 |
Amevi Acakpovi | 2 | 2 | 1.36 |
Mathias Bennet Michael | 3 | 2 | 0.35 |