Modeling positive and negative feedback for improving document retrieval

Author:

Hao Shufeng,Shi Chongyang,Niu Zhendong,Cao Longbing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference30 articles.

1. Improving retrievability with improved cluster-based pseudo-relevance feedback selection;Bashir;Expert Systems with Applications,2011

2. Utilizing focused relevance feedback;Brondwine,2016

3. A context-dependent relevance model;Dang;Journal of the Association for Information Science and Technology,2016

4. A new context-dependent term weight computed by boost and discount using relevance information;Dang;Journal of the Association for Information Science and Technology,2010

5. Multimodal retrieval using mutual information based textual query reformulation;Datta;Expert Systems with Applications,2017

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