Interfacing thought: cognitive aspects of human-computer interaction
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of a very large web search engine query log
ACM SIGIR Forum
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Collaborative filtering with privacy via factor analysis
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Communications of the ACM
Probabilistic Memory-Based Collaborative Filtering
IEEE Transactions on Knowledge and Data Engineering
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
CubeSVD: a novel approach to personalized Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Using ODP metadata to personalize search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalized Search Based on User Search Histories
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Implicit user modeling for personalized search
Proceedings of the 14th ACM international conference on Information and knowledge management
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Characterizing the value of personalizing search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
To personalize or not to personalize: modeling queries with variation in user intent
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Hi-index | 0.00 |
Various strategies have been proposed to enhance web search through utilizing individual user information. However, considering the well acknowledged recurring queries and repetitive clicks among users, it is still an open issue whether using individual user information is a proper direction of efforts in improving the web search. In this paper, we first quantitatively demonstrate that individual user information is more beneficial than common user information. Then we statistically compare the benefit of individual and common user information through Kappa statistic. Finally, we calculate potential for personalization to present an overview of what queries can benefit more from individual user information. All these analyses are conducted on both English AOL log and Chinese Sogou log, and a bilingual perspective statistics consistently confirms our findings.