James R. Chen
- 1.R.K. Belew. Adaptive information retrieval: Using a connec#ionist representation to retrieve and learn about documents. In Proc. of the 12th SIGIR Conference, pages 11-20, 1989. Google Scholar
Digital Library
- 2.D. I3enyon emd D. Murray. Developing adaptive systems to fit individual needs. In Proc. of the 3rd International Workshop on Intelligent User Interfaces, pages 115-121, 1993. Google ScholarDigital Library
- 3.Baudin C., S. Kedar, d. Underwood, and V. Baya. Question-based acquisition of conceptual indices for multimedia design documentation. In Proc. of the 11th National Conference on Artsfic,al lntelhgence, pages 452-458, 1993.Google Scholar
- 4.J.P. Callan, W.B. Croft, and S.M. Harding. The inquery retrieval system. In Proc. of the 3rd International Conference on Database and Expert Systems Applications, pages 78-83, 1992.Google ScholarCross Ref
- 5.H. Chen. Machine learning for information retrieval: Neural networks, symbolic learning, and genetic algorithms. Journal of the A mer,can Society }or lnJormation Science, 46(3):194-216, 1995. Google ScholarDigital Library
- 6.A. Cypher. Programming repetitive tasks by example. In Proc. of the A CM Conference on Computer Human Interaction, pages 33-39, 1991. Google ScholarDigital Library
- 7.S.T. Dumais, G.W. Furnas, T.K. Landauer, S. Deerwester, and R. Harshman. Using latent semantic analysis to improve access to textual information. In CHI'88 Proceedings, pages 281-285, 1988. Google ScholarDigital Library
- 8.M.E. Frisse and S.B. Cousins. Information retrieval from hypertext: Update on the dynamic medical handbook project. In Proc. of the A CM Conference on Hypertext, pages 199-212, 1989. Google ScholarDigital Library
- 9.D. Haines and W.B. Croft. Relevance feedback and inference networks. In Proc. o} the 16th Annual International A CM SIGIR Conference, pages 2-10, 1993. Google ScholarDigital Library
- 10.C. Kaplan, J. Fenwick, and J.R. Chen. Adaptive hypertext navigation based on user goals and context. User Modeling and User Adapted Interaction, pages 193-220, 1993.Google ScholarCross Ref
- 11.P. Maes and R. Kozierok. Learning interface agents. in Proc. of the 11th National Conference on Artificial Intelligence, pages 91-99, 1993.Google Scholar
- 12.N. Math$ and J.R. Chen. A user-centered approach to adaptive hypertext based on an information relevance model. In Proc. o{ the Fourth International Conference on User Modeling, pages 107-114, 1994.Google Scholar
- 13.G. Salton. Automatic Text Processing: the transformation, analysis, and retrieval of information by computers. Addison Wesley, 1989. Google ScholarDigital Library
- 14.M. Schneider-Hufschmidt, T. Kuhme, and U. Malinowski, editors. Adaptive User Interfaces. Principles and Practice. North-Holland, 1993. Google ScholarDigital Library
- 15.J.W. Sullivan and S.W. Tyler, editors. Intelligent User Interfaces. ACM, 1991. Google Scholar
Index Terms
- Learning subjective relevance to facilitate information access
Recommendations
Fuzzy Subjective Sentiment Phrases: A Context Sensitive and Self-Maintaining Sentiment Lexicon
WI-IAT '14: Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 01In this paper, we present a novel self-maintaining, domain-independent, and context-sensitive Sentiment Lexicon (SL) which finds and maps opinion words and phrases to a fuzzy sentiment score ranging from strong negative to strong positive. We show that ...
An enhancement of the Role-Based Access Control model to facilitate information access management in context of team collaboration and workflow
Graphical abstractDisplay Omitted Highlights We have enhanced RBAC for information access management in collaborative processes. New model incorporates universal constraint, workflow context and access delegation. Bridging entities and contributing ...
Relevance assessment: are judges exchangeable and does it matter
SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrievalWe investigate to what extent people making relevance judgements for a reusable IR test collection are exchangeable. We consider three classes of judge: "gold standard" judges, who are topic originators and are experts in a particular information ...
Comments