Using latent semantic indexing for information filtering
COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
Information access in complex, poorly structured information spaces
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Participating in explanatory dialogues: interpreting and responding to questions in context
Participating in explanatory dialogues: interpreting and responding to questions in context
Patterns of search: analyzing and modeling Web query refinement
UM '99 Proceedings of the seventh international conference on User modeling
Building natural language generation systems
Building natural language generation systems
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Web search behavior of Internet experts and newbies
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Artificial Intelligence - Special issue on Intelligent internet systems
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Trading off granularity against complexity in predictive models for complex domains
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Artificial intelligence and intelligent systems research in Chile
Artificial intelligence
Stochastic web-based natural language dialog planning for web information filtering
Expert Systems with Applications: An International Journal
An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems
International Journal of Advanced Pervasive and Ubiquitous Computing
| Hi-index | 4.10 |
A computational linguistics approach for Web-based cooperative dialogs focuses on the user's requests by automatically generating language-driven interactions that take into account the context, user feedback, and the initial search's results.