On term selection for query expansion
Journal of Documentation
The concept of relevance in IR
Journal of the American Society for Information Science and Technology
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
Elicitation of term relevance feedback: an investigation of term source and context
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Algorithmic mediation for collaborative exploratory search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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Using Saracevic's relevance types, we explore approaches to combining algorithm and cognitive relevance in a term relevance feedback scenario. Data collected from 21 users who provided relevance feedback about terms suggested by a system for 50 TREC HARD topics are used. The former type of feedback is considered as cognitive relevance and the latter type is considered as algorithm relevance. We construct retrieval runs using these two types of relevance feedback and experiment with ways of combining them with simple Boolean operators. Results show minimal differences in performance with respect to the different techniques.