Open Access
Peer-Reviewed
Original Research
User Feedback Session with Clicked and Unclicked Documents for Related Search Recommendation
Abstract
Keyword based search is extensively used method to discover k nowledge on the web. Generally, web users unable to arrange and define input queries relevant to their search because of adequate knowledge about domain. Hence, the input queries are normally short and ambiguous. Query recommendation is a method to recomme nd web queries that are related to the user initial query which helps them to locate their required information more precisely. It also helps the search engine to return appropriate answers and meet their needs. Usually users have ambiguous
Keywords
in their mind to represent their information need
Declarations & Ethics
Funding:
This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Desai, et al. (2016). User Feedback Session with Clicked and Unclicked Documents for Related Search Recommendation. IADIS International Journal on Computer Science and Information Systems, 11(1). https://doi.org/10.33965/ijcsis_2016_v11i1_07
Desai, et al. "User Feedback Session with Clicked and Unclicked Documents for Related Search Recommendation." IADIS International Journal on Computer Science and Information Systems, vol. 11, no. 1, 2016. https://doi.org/10.33965/ijcsis_2016_v11i1_07
Desai, et al. "User Feedback Session with Clicked and Unclicked Documents for Related Search Recommendation." IADIS International Journal on Computer Science and Information Systems 11, no. 1 (2016). https://doi.org/10.33965/ijcsis_2016_v11i1_07