%0 Journal Article %1 IA002 %A Krulwich, B. %A Burkey, C. %D 1997 %J IEEE Expert %K Heuristic ID3. agents, extraction, information intelligent phrase retrieval, %P 22-27 %T The InfoFinder Agent: Learning User Interests through Heuristic Phrase Extraction.

@article{IA002, added-at = {2009-06-22T10:05:09.000+0200}, author = {Krulwich, B. and Burkey, C.}, biburl = {https://www.bibsonomy.org/bibtex/253e5e58e6c93ec6e0dc4d46bf11ee626/n.nanas}, interhash = {ce762d0ee59179cbef178429063331e5}, intrahash = {53e5e58e6c93ec6e0dc4d46bf11ee626}, journal = {IEEE Expert}, keywords = {Heuristic ID3. agents, extraction, information intelligent phrase retrieval,}, pages = {22-27}, qnote = {Another intelligent informatin agent. interesting heuristics used for phrase extraction. However the use of the extracted sentences for the construction of a tree is not the best idea in my opinion. The system is not able to reflect changes in the user's interests which will eventually come. The selected documents are used for constructing a query which is used for information retrieval. As a result the documents returned would be the same as long as there are no new documents in the collection.}, timestamp = {2009-06-23T10:19:15.000+0200}, title = {The {InfoFinder} Agent: Learning User Interests through Heuristic Phrase Extraction.}, year = 1997 }