Socially Aware Conference Participant Recommendation With Personality Traits
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论文类型：期刊论文
发表时间：2017-12-01
发表刊物：IEEE SYSTEMS JOURNAL
收录刊物：SCIE、EI、Scopus
卷号：11
期号：4
页面范围：2255-2266
ISSN号：1932-8184
关键字：Collaboration; personality; recommender systems; smart conference; social awareness
摘要：As a result of the importance of academic collaboration at smart conferences, various researchers have utilized recommender systems to generate effective recommendations for participants. Recent research has shown that the personality traits of users can be used as innovative entities for effective recommendations. Nevertheless, subjective perceptions involving the personality of participants at smart conferences are quite rare and have not gained much attention. Inspired by the personality and social characteristics of users, we present an algorithm called Socially and Personality Aware Recommendation of Participants (SPARP). Our recommendation methodology hybridizes the computations of similar interpersonal relationships and personality traits among participants. SPARP models the personality and social characteristic profiles of participants at a smart conference. By combining the aforementioned recommendation entities, SPARP then recommends participants to each other for effective collaborations. We evaluate SPARP using a relevant data set. Experimental results confirm that SPARP is reliable and outperforms other state-of-the-art methods.
发表时间：2017-12-01