A Survey on Ordered Weighted Averaging Operators and their Application in Recommender Systems
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICIKT08_038
تاریخ نمایه سازی: 5 بهمن 1395
Abstract:
Recommender Systems (RS) are turned into remarkable tools in electronics commerce (e-commerce) in a way that they effectively find items which are suitable for user’s interests. Techniques such as collaborative filtering and content-based filtering are designed for RS. One of the novel methods to recommend appropriate items is using the Ordered Weighted Averaging (OWA) operators to fuzzify the output of RS [1]. OWA is one of the decision-making methods capable of considering the priorities and mental evaluations of a decision-maker. Furthermore it has the ability to assess the measure of orness and include the computation in final decision. This article aims at presenting methods that have been proposed to combine RS and OWA operators and also at proposing the implementation and development of these two methods in future.
Keywords:
Recommender Systems (RS) , Ordered Weighted Averaging (OWA) operators
Authors
Mohsen Gorzin
Department of Mathematics and Computer Science Allameh Tabataba’i University Tehran, Iran
Fereshteh Azadi Parand
Department of Mathematics and Computer Science Allameh Tabataba’i University Tehran, Iran
Mahsa Hosseinpoorpia
Department of Mathematics and Computer Science Allameh Tabataba’i University Tehran, Iran
Seyed Ashkan Madine
Department of Mathematics and Computer Science Allameh Tabataba’i University Tehran, Iran
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