DocumentCode
2062410
Title
WebTrovert: Testing autosuggest search results based on recommendation system algorithms
Author
Agarwal, Akrita ; Annapoorani, L. ; Tayal, Riya ; Gujral, Minakshi
Author_Institution
Comput. Sci. Dept., Jaypee Inst. of Inf. & Technol., India
fYear
2012
fDate
16-18 March 2012
Firstpage
1
Lastpage
5
Abstract
WebTrovert is a recommendation system which is based on practically designed algorithms, having the subsystems: search and suggestions. It emulates a social networking platform holding user information and their data in form of documents and videos. WebTrovert incorporates autosuggest search and suggestions to enhance the productivity and user friendliness of the website. In this paper, we illustrate the efficiency of the system by generating the test cases and results.
Keywords
Internet; recommender systems; social networking (online); WebTrovert; designed algorithms; recommendation system algorithms; social networking platform; testing autosuggest search results; user information; Algorithm design and analysis; Collaboration; Computer aided software engineering; Databases; Filtering; Filtering algorithms; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering and Systems (SCES), 2012 Students Conference on
Conference_Location
Allahabad, Uttar Pradesh
Print_ISBN
978-1-4673-0456-6
Type
conf
DOI
10.1109/SCES.2012.6199015
Filename
6199015
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