Whether this participant will attract you to this event? Exploiting Participant Influence for Event Recommendation
Refereed conference paper presented and published in conference proceedings


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其它資訊
摘要When a user is making a decision on whether to participate an event in Event-based Social Networks (EBSN), one of the common considerations is who have agreed to join this event. The reason is that existing participants of the event affect the decision of the user, to which we refer as participant influence. However, participant influence is not well studied by previous works. In this paper, we propose an event recommendation model which considers participant influence, exploiting the influence of existing participants, on the decisions of new participants. Specifically, we investigate participant influence in relation to several commonly used contextual aspects of the event based on Poisson factorization. We have conducted extensive experiments on some datasets extracted from a real-world EBSN. The results demonstrate that the consideration of participant influence can improve event recommendation.
著者Yi Liao, Xinshi Lin, Wai Lam
會議名稱2016 IEEE International Conference on Data Mining
會議開始日12.12.2016
會議完結日15.12.2016
會議地點Barcelona
會議國家/地區西班牙
會議論文集題名2016 IEEE 16th International Conference on Data Mining (ICDM)
出版年份2016
月份12
出版社IEEE
頁次1035 - 1040
國際標準期刊號2374-8486
語言美式英語

上次更新時間 2021-12-04 於 00:06