User Modeling for Information Access Based on Implicit Feedback

dc.contributor.authorKim, J.en_US
dc.contributor.authorOard, D. W.en_US
dc.contributor.authorRomanik, K.en_US
dc.date.accessioned2004-05-31T23:03:52Z
dc.date.available2004-05-31T23:03:52Z
dc.date.created2000-05en_US
dc.date.issued2000-05-13en_US
dc.description.abstractUser modeling can be used in information filtering and retrieval systems to improve the representation of a users information needs. User models can be constructed by hand, or learned automatically based on feedback provided by the user about the relevance of documents that they have examined. By observing user behavior, it is possible to infer implicit feedback without requiring explicit relevance judgments. Previous studies based on Internet discussion groups (USENET news) have shown reading time to be a useful source of implicit feedback for predicting a users preferences. The study reported in this paper extends that work by providing framework for considering alternative sources of implicit feedback, examining whether reading time is useful for predicting a users preferences for academic and professional journal articles, and exploring whether retention behavior can usefully augment the information that reading time provides. Two user studies were conducted in which undergraduate students examined articles and abstracts related to the telecommunications and pharmaceutical industries. The results showed that reading time could be used to predict the users assessment of relevance, although reading time for journal articles and technical abstracts are longer than has been reported for USENET news documents. Observation of printing events, a type of retention behavior, was found to provide additional useful evidence about relevance beyond that which could be inferred from reading time. The paper concludes with a brief discussion of the implications of the reported results. (Also cross-referenced as UMIACS-TR-2000-29) (Also cross-referenced as HCIL-TR-2000-11)en_US
dc.format.extent238291 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/1072
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4136en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2000-29en_US
dc.relation.ispartofseriesHCIL-TR-2000-11en_US
dc.titleUser Modeling for Information Access Based on Implicit Feedbacken_US
dc.typeTechnical Reporten_US

Files

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
CS-TR-4136.pdf
Size:
93.86 KB
Format:
Adobe Portable Document Format
Description:
Auto-generated copy of CS-TR-4136.ps
No Thumbnail Available
Name:
CS-TR-4136.ps
Size:
232.71 KB
Format:
Postscript Files