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_aOrsolino, Alissa Y. and Pante, Charisse Ann O.
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_aKalat: kunin-all-cost-art-in-trash using Vanilla policy gradient algorithm for recycling mobile application /
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_cOrsolino, Alissa Y. and Pante, Charisse Ann O.
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_cMarch 2019.46
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_a67 pp.
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_atext
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_aunmediated
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_aThesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2019.
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_aABSTRACT: This study is about a mobile application called KALAT (Kunin All Lost Art in Trash) that uses a meta search engine. The main objective of this is to design a recycling mobile application that will output a list according to the user's preferences. This can be useful to different fields; however, the focus of the study is to those people who has an intent to recycle their recyclable materials and/or influence other people to recycle theirs. There are websites that has the same intent, to help people recycle their garbage, however these are not tailored to the user's preferences. The researchers designed a meta search engine that crawls to various recycling website's database then creates an index for easy retrieval. Before displaying the results of the meta search engine, an algorithm called Vanilla Policy Gradient is implemented to the list. The algorithm ranks the list by having a policy of giving rewards to the user interaction at a given trajectory. Simply, upon the implementation of the algorithm, Vanilla Policy Gradient algorithm, the list produced by the meta search engine are re-arranged to give better and personalized results by re-arranging it depending on how the user will interact with the list. The interaction is fed to the database for future of the metasearch engine. Now, the future researchers can further enhance the system and further enhance the personalization experience of the user by adding more algorithm to the processes of the meta search engine.
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