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We demonstrate an adaptive search system that works proactively to help searchers find relevant information. The system observes searcher interaction, uses what it sees to model information needs and chooses additional query terms. The system watches for changes in the topic of the search and selects retrieval strategies that reflect the extent to which the topic is seen to change.
@inproceedings{1009138, author = {Ryen W. White and Joemon M. Jose}, title = {An implicit system for predicting interests}, booktitle = {SIGIR '04: Proceedings of the 27th annual international conference on Research and development in information retrieval}, year = {2004}, isbn = {1-58113-881-4}, pages = {595--595}, location = {Sheffield, United Kingdom}, doi = {http://doi.acm.org/10.1145/1008992.1009138}, publisher = {ACM Press}, }  ©2005 Association for Computing Machinery |
