Titlebook: Web-Age Information Management; WAIM 2015 Internatio Xiaokui Xiao,Zhenjie Zhang Conference proceedings 2015 Springer International Publishi

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Conference proceedings 2015on Heterogeneous Information Network Analysis and Applications (HENA 2015), and Second International Workshop on Human Aspects of Making Recommendations in and for Social Ubiquitous Networking Environments (HRSUNE 2015).

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0302-9743 ollowing workshops: International Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2015), and Second International Workshop on Human Aspects of Making Recommendations in and for Social Ubiquitous Networking Environments (HRSUNE 2015).978-3-319-23530-1978-3-319-23531-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Spammer Detection on Online Social Networks Based on Logistic Regressionnd events online. However, the massive use of social media also makes it easier for malicious users, known as social spammers, to occupy social network with junk information. To solve this problem, a classifier is needed to detect social spammers. One effective way for spammer detection is based on

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Axillary

A Novel Recommendation Algorithm Based on Heterogeneous Information Network Similarity and Preferenc the side information of users, items is a new challenge. This paper put forward a novel solution based on the heterogeneous information network and preference diffusion. The similarity matrices of users and items are initially computed based on meta-path similarity algorithm; three new preference d

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Information Diffusion in Online Social Networks: Models, Methods and Applicationson. The research on information diffusion in online social networks is valuable in both theoretical and practical perspective. In this paper, we present a survey of representative methods dealing with information diffusion. First, we analyze the main factors related to diffusion. Second, we propose

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Mining Personal Interests of Microbloggers Based on Free Tags in SINA Weibong free tags to show their personal characteristics, but 78.2?% of all users do not tag themselves. In this paper, we try to mine user’s personal interests based on the self-defined free tags. A directed weighted graph is constructed with the interactive relations between users. We suppose that if t