People search: Searching people sharing similar interests from the Web
Document Type
Article
Publication Date
1-1-2008
Abstract
On the Web, there are limited ways of finding people sharing similar interests with a given person. The current methods are either ineffective or time consuming. In this paper, we present a new approach for searching people sharing similar interests from the Web. Given a person, to find similar people from the Web, there are two major research issues: person representation and matching persons. In this study, we propose a person representation method which uses a person's website to represent this person. Our design of matching process takes person representation into consideration to allow the same representation to be used when composing the query. Under this person representation method, the proposed algorithm integrates textual content and hyperlink information of all the pages belonging to a personal website to represent a person and match persons. Other algorithms are also explored and compared to the proposed algorithm. Experimental results are presented.
Identifier
38549117350 (Scopus)
Publication Title
Journal of the American Society for Information Science and Technology
External Full Text Location
https://doi.org/10.1002/asi.20736
e-ISSN
15322890
ISSN
15322882
First Page
111
Last Page
125
Issue
1
Volume
59
Recommended Citation
Li, Quanzhi and Wu, Yi Fang Brook, "People search: Searching people sharing similar interests from the Web" (2008). Faculty Publications. 12954.
https://digitalcommons.njit.edu/fac_pubs/12954