WebTrovert: Testing autosuggest search results based on recommendation system algorithms

摘要

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.