Toward Peer-to-Peer Based Semantic Search Engines

ISBN-13: 9783639084795 / Angielski / Miękka / 2008 / 164 str.

Haizheng Zhang; Victor Lesser

Opis

This book frames a peer-to-peer information retrieval problem as a multi-agent framework and attacks it from an organizational perspective by exploring various adaptive, self-organizing topological organizations, designing appropriate coordination strategies, and exploiting learning techniques to create more accurate routing policy for large-scale agent organizations. In addition, a reinforcement-learning based approach is developed in this thesis to take advantage of the run-time characteristics of P2P IR systems, including environmental parameters, bandwidth usage, and historical information about past search sessions. In the learning process, agents refine their content routing policies by constructing relatively accurate routing tables based on a Q-learning algorithm. Experimental results show that this learning algorithm considerably improves the performance of distributed search sessions in P2P IR systems. The book is addressed to researchers and practitioners in information retrieval and search engine, content-based routing areas.

O autorze

Zhang Haizheng Dr. Haizheng Zhang is currently a technical staff member at Microsoft Live Search. Prior to Microsoft, he was a research associate at Pennsylvania State University. He received his Ph.D. on Computer Science from University of Massachusetts Amherst in 2006. His research focus is on information retrieval, social networks, and machine learning. Prof. Victor R. Lesser received his B.A. in Mathematics from Cornell University in 1966, and the M.S. and Ph.D. degrees in Computer Science from Stanford University in 1970 and 1973, respectively. He has been a professor in the Department of Computer Science at the University of Massachusetts Amherst since 1977. His major research focus is on the control and organization of complex AI systems. Professor Lesser is a Fellow of the American Association of Artificial Intelligence (AAAI), and is considered a leading researcher in the area of multi-agent systems (distributed AI)