Title of article :
Towards a model of implicit feedback for Web search
Author/Authors :
Xin Fu، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2010
Pages :
20
From page :
30
To page :
49
Abstract :
This research investigated several important issues in using implicit feedback techniques to assist searchers with difficulties in formulating effective search strategies. It focused on examining the relationship between types of behavioral evidence that can be captured from Web searches and searchersʹ interests. A carefully crafted observation study was conducted to capture, examine, and elucidate the analytical processes and work practices of human analysts when they simulated the role of an implicit feedback system by trying to infer searchersʹ interests from behavioral traces. Findings provided rare insight into the complexities and nuances in using behavioral evidence for implicit feedback and led to the proposal of an implicit feedback model for Web search that bridged previous studies on behavioral evidence and implicit feedback measures. A new level of analysis termed an analytical lens emerged from the data and provides a road map for future research on this topic.
Keywords :
assisted searching , Feedback , query formulation , query refinement , human computer interaction
Journal title :
Journal of the American Society for Information Science and Technology
Serial Year :
2010
Journal title :
Journal of the American Society for Information Science and Technology
Record number :
994130
Link To Document :
بازگشت