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Personalized Product Recommendation in Social Media using Kin and Kith Mining
| Content Provider | Semantic Scholar |
|---|---|
| Author | N.venkatesan Arunadevi, K. C. Kamalapriya, S. |
| Copyright Year | 2018 |
| Abstract | A recommender system learns from a customer and recommends products that we will find most valuable from among the available products. Many of the largest E-commerce Websites are already using recommender systems to help their customers find products to purchase. The products can be recommended based on the top sellers on a site, demographics of the customer and analysis of the past buying behavior of the customer. The proposed system will use “mined” knowledge learned from the behavior of consumers and its relevant people – to guide consumers through the often-overwhelming task of locating products they will like. Recommender systems enhance E-commerce sales in three ways: Browsers into buyers, Cross-sell and Loyalty. This paper proposed new mining approach to recommend the products which are interest with their family members and friends. The data set are collected from the social networking sites. The data set consists of basic information about the visitor, likes and groups, interests etc., more generally, data mining has two phases. In the learning phase, the data mining system analyses the data and builds a model of consumer behavior (e.g., association rules). This phase is often very time-consuming and may require the assistance of human analysts. After the model is built, the system enters a use phase where the model can be rapidly and easily applied to consumer situations. By applying kin and kith mining concepts to analysis the data set to predict not only the users interest also finds the interests of the customers’ friends and family members. Keywords— Recommender systems, Kin and Kith mining, E-commerce, Social network, users interest |
| File Format | PDF HTM / HTML |
| Volume Number | 4 |
| Alternate Webpage(s) | https://www.ijert.org/research/personalized-product-recommendation-in-social-media-using-kin-and-kith-mining-IJERTCONV4IS19022.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
