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CIKM
2010
Springer
14 years 12 months ago
Mining topic-level influence in heterogeneous networks
Influence is a complex and subtle force that governs the dynamics of social networks as well as the behaviors of involved users. Understanding influence can benefit various applic...
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang...
EMINDS
2007
90views more  EMINDS 2007»
15 years 1 months ago
Designing A Smart Shopping-aid System Based on Human-Centered Approach
Abstract We introduce our human-centered approach for designing a ubiquitous computing system which aims at providing a better experience for shoppers at a supermarket. We investig...
Hiroshi Tamura, Tamami Sugasaka, Kazuhiro Ueda
AH
2008
Springer
15 years 8 months ago
A Rule-Based Recommender System for Online Discussion Forums
Abstract. In this paper we present a rule-based personalization framework for encapsulating and combining personalization algorithms known from adaptive hypermedia and recommender ...
Fabian Abel, Ig Ibert Bittencourt, Nicola Henze, D...
124
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JCP
2006
117views more  JCP 2006»
15 years 1 months ago
Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered o...
Karen H. L. Tso, Lars Schmidt-Thieme
CHI
2009
ACM
16 years 2 months ago
The effect of affective iconic realism on anonymous interactants' self-disclosure
In this paper, we describe progress in research designed to explore the effect of the combination of avatars' visual fidelity and users' anticipated future interaction o...
Sin-Hwa Kang, Jonathan Gratch, James H. Watt