Abstract
Classified e-commerce sites have seen a rapid growth in the last few years with the availability of internet to mass people. But as most sites do not offer an intelligent recommender system, ordinary customers looking for a specific product face the daunting task of finding the perfect product in accordance with his requirements and budget. Besides, most of the time, sellers do not have the idea about the exact market value of their item. It results in either under valuation or over valuation which hampers to get a good price that could benefit both the seller and the buyer. We propose a fuzzy logic based intelligent recommender system which will intelligently recommend products most suitable with buyer’s requirements. It does not require extensive user information. Though we have used it only for mobile devices in the experiment, results indicate that the system is effective and efficient, and can be implemented for any product based on their features.
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Sharif, U., Kamal, M.R., Rahman, R.M. (2017). A Fuzzy Logic Based Recommendation System for Classified Advertisement Websites. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Trends in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-57261-1_25
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DOI: https://doi.org/10.1007/978-3-319-57261-1_25
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