Abstract
There are hundreds of websites and apps that are struggling to find the algorithms for the perfect search to optimize the website’s resources, however we have very few success stories.
We aim to build in this paper, a recommendation system, WebTrovert, which is based on practically designed algorithms. It comprises of a social networking platform holding user information and their data in the form of documents and videos.
It incorporates autosuggest search and suggestions to enhance the productivity and user friendliness of the website.
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Agarwal, A., Annapoorani, L., Tayal, R., Gujral, M. (2012). WebTrovert: An AutoSuggest Search and Suggestions Implementing Recommendation System Algorithms. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_86
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DOI: https://doi.org/10.1007/978-3-642-30157-5_86
Publisher Name: Springer, Berlin, Heidelberg
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