Paper Info
Title
A Framework for Cross-language Search Personalization.
Abstract
Search personalization is an area of considerable research interest. In this paper, we propose a framework for personalizing cross-language search using user models. Our work extends existing studies in two directions. First, the framework extends to the area of cross-language information retrieval. Second, the study aims to elicit features of cross-language search behavior from multilingual search logs. We argue that we can infer a user model, that describes individual user interests and behavior, which can be partially bootstrapped based on choice of interface language. Our experiments involved mining multilingual search logs for interesting patterns of cross-language search behavior. Different patterns were exhibited for users of different languages. The results suggest that there is scope for further investigation on the use of log analysis to improve personalization of cross-language search.
Year
DOI
Venue
2009
10.1109/SMAP.2009.11
San Sebastian
Keywords
Field
DocType
different language,cross-language information retrieval,multilingual search log,cross-language search,mining multilingual search log,user model,search personalization,individual user interest,cross-language search personalization,cross-language search behavior,different pattern,data mining,natural language processing,computer science,construction industry,personalization,history,framework,working paper
World Wide Web,Information retrieval,Bootstrapping,Computer science,Construction industry,User modeling,Search analytics,Cross-language information retrieval,Query formulation,Personalization
Conference
ISBN
Citations 
PageRank 
978-0-7695-3894-5
3
0.47
References 
Authors
11
4
Name
Order
Citations
PageRank
M. Rami Ghorab1698.08
Dong Zhou234225.99
Alexander O'connor318414.32
Vincent P. Wade447255.35