Query enhancement by user profiles
Proc. of the third joint BCS and ACM symposium on Research and development in information retrieval
An evaluation of retrieval effectiveness for a full-text document-retrieval system
Communications of the ACM
Artificial intelligence (2nd ed.)
Artificial intelligence (2nd ed.)
Optimization criteria for checkpoint placement
Communications of the ACM
Outline of a dynamic self-tuning and adaptive information retrieval system
SIGIR '81 Proceedings of the 4th annual international ACM SIGIR conference on Information storage and retrieval: theoretical issues in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The use of extended Boolean logic in information retrieval
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Cooperative Responses to Boolean Queries
Proceedings of the First International Conference on Data Engineering
Building and exploiting user models.
Building and exploiting user models.
| Hi-index | 0.00 |
Development of an information retrieval system that can be personalized to each user requires maintaining and continually updating an interest profile for each individual user. Since people tend to be poor at self-description, it is suggested that profile development and maintenance is an area in which machine learning and knowledge based techniques can be profitably employed. This paper presents a model for such an application of AI techniques.