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A Fuzzy Logic Based Personalized Recommender System
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ojokoh |
| Copyright Year | 2012 |
| Abstract | The ever-increasing number of E-commerce sites on the Internet has brought about information overload. This has made it difficult for consumers of certain products to find information about such products in an attempt to purchase products that best satisfies them. It has equally reduced the volume of product sales in the E-commerce domain. Hence, this paper proposes a personalized recommender system driven by fuzzy logic technique. The proposed system intelligently mines information about the features of laptop computers and provides professional services to potential buyers by recommending optimal products based on their personal needs. Fuzzy Near Compactness (FNC) concept is employed to measure the similarity between consumer needs and product features in order to recommend optimal products to potential buyers. Experimental result of the proposed system with 50 laptop computers consisting of Acer, Dell, HP, Sony, and Toshiba proves its effectiveness. Keywords-Fuzzy logic; Laptops; Recommendation system; Attributes; E-Commerce; Mining. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijcsits.org/papers/vol2no52012/22vol2no5.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
