Abstract
The primary objective of this research is to search and sort audio gadget list according to user preference with fuzzy logic. The system has a database that contains the price of the product and necessary information along with reviews. This information is considered as the parameters of the fuzzy system. In this system, the user can specify approximate budget, genres, sound quality, and review of the audio gadget that are used to purchase proper audio devices. Each item’s metadata is converted into a fuzzy parameter and passed to fuzzy recommendation system. After calculation, the fuzzy recommendation system assign’s a value to each item. Those values are sorted in descending order, and the highest value is counted as the most preferable item for the user. The system also allows users to give feedback for different attributes such as genre, sound quality, user satisfaction as the review. Therefore, the system becomes user-adaptive when a user uses the system for a while.
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Chowdhury, M.M., Tanvir, F., Rahman, M.S., Rahman, M.M., Al-Sahariar, M., Rahman, R.M. (2019). Audio Gadget Recommendation by Fuzzy Logic. In: Silhavy, R. (eds) Artificial Intelligence Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 985. Springer, Cham. https://doi.org/10.1007/978-3-030-19810-7_26
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DOI: https://doi.org/10.1007/978-3-030-19810-7_26
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