Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
391912 | Information Sciences | 2016 | 14 Pages |
Abstract
In this paper we present a new personalized approach, which integrates a social profile into a distributed search system. Most previous studies on distributed information retrieval are based on textual information, and rarely consider any social information. Based on this observation, we propose an approach which exploits the social profile and the different relations between social entities. We believe that this method can: (i) enhance a query expansion, (ii) personalize and improve both the source selection and the result merging process in distributed information retrieval systems.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zakaria Saoud, Samir Kechid,