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
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;
Conference_Titel :
Engineering and Systems (SCES), 2012 Students Conference on
Conference_Location :
Allahabad, Uttar Pradesh
Print_ISBN :
978-1-4673-0456-6
DOI :
10.1109/SCES.2012.6199015
