Tang, J; Zhang, J; Jin, RM; Yang, Z; Cai, KK; Zhang, L; Su, Z. 2011. Topic level expertise search over heterogeneous networks. MACHINE LEARNING 82 (2): 211-237
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Thu May 19 15:18:01 EDT 2011
Tang, J; Zhang, J; Jin, RM; Yang, Z; Cai, KK; Zhang, L; Su, Z. 2011. Topic
level expertise search over heterogeneous networks. MACHINE LEARNING 82
(2): 211-237, Sp. Iss. SI.presented at International Conference on Machine
Learning/ Workshop on Machine Learning and Graphs in Helsinki, FINLAND, 2008.
Author Full Name(s): Tang, Jie; Zhang, Jing; Jin, Ruoming; Yang, Zi; Cai, Keke;
Zhang, Li; Su, Zhong
Document Type: Proceedings Paper
Author Keywords: Social network; Information extraction; Name
disambiguation; Topic modeling; Expertise search; Association search
Abstract: In this paper, we present a topic level expertise search framework for
heterogeneous networks. Different from the traditional Web search engines
that perform retrieval and ranking at document level (or at object level), we
investigate the problem of expertise search at topic level over heterogeneous
networks. In particular, we study this problem in an academic search and
mining system, which extracts and integrates the academic data from the
distributed Web. We present a unified topic model to simultaneously model
topical aspects of different objects in the academic network. Based on the
learned topic models, we investigate the expertise search problem from three
dimensions: ranking, citation tracing analysis, and topical graph search.
Specifically, we propose a topic level random walk method for ranking the
different objects. In citation tracing analysis, we aim to uncover how a piece of
work influences its follow-up work. Finally, we have developed a topical graph
search function, based on the topic modeling and citation tracing analysis.
Experimental results show that various expertise search and mining tasks can
indeed benefit from the proposed topic level analysis approach.
Addresses: [Tang, Jie; Zhang, Jing; Yang, Zi] Tsinghua Univ, Dept Comp Sci &
Technol, Beijing 100084, Peoples R China; [Jin, Ruoming] Kent State Univ, Dept
Comp Sci, Kent, OH 44241 USA; [Cai, Keke; Zhang, Li; Su, Zhong] IBM Corp,
China Res Lab, Beijing, Peoples R China
Reprint Address: Tang, J, Tsinghua Univ, Dept Comp Sci & Technol, Beijing
100084, Peoples R China.
E-mail Address: jietang at tsinghua.edu.cn; zhangjing at keg.cs.tsinghua.edu.cn;
jin at cs.kent.edu; yz at keg.cs.tsinghua.edu.cn; caikeke at cn.ibm.com;
lizhang at cn.ibm.com; suzhong at cn.ibm.com
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