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- W2142089538 abstract "system for online marketing site plays a key role for the e-marketing or purchase made online by consumers. As there are many recommendations for a particular keyword, determining which recommendations have higher impact for a particular user is difficult. So it is useful to make a personal recommender based on the user preferences may helpful in solving such a problems and can deliver a good search result. Based on user actions (preferences, like) within a close group like any networking site a best personalized recommender can be designed. As the growing popularity of www every things going to b dependent on the virtual world, e-commerce and e- advertisement are the very important aspect of them, the growing popularity of www also leaded to virtualized one's friend. So this work is defining a approach in which the personal relationships between friends is calculated after that this calculation can be used to determine the good recommender for a particular user based on his/her friends reviews and the his/her preferences." @default.
- W2142089538 created "2016-06-24" @default.
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- W2142089538 date "2014-05-16" @default.
- W2142089538 modified "2023-09-25" @default.
- W2142089538 title "Personalized Recommender System: A Personal Recommender System Online Social Networking Sites" @default.
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- W2142089538 doi "https://doi.org/10.5120/16240-5788" @default.
- W2142089538 hasPublicationYear "2014" @default.
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