Generating user specific novel recommendation in a multi-criteria recommender system

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Sheikhi Darani Zahra; HOSSEINI MONIREH

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2023 | Issue:9

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Title

Generating user specific novel recommendation in a multi-criteria recommender system

Author(s)

Sheikhi Darani Zahra | HOSSEINI MONIREH

Keywords

Recommender Systems

Novel Recommendation

User Specific Recommendation

Abstract

The recommender system is one of the valuable e-commerce tools. These systems, predict the user's preferences and recommend the products that fit the needs and interests of each user. In classical Recommender Systems, only the accuracy of recommendations was evaluated. Considering accuracy as the only evaluation criterion leads to problems such as user dissatisfaction due to receiving very similar offers and reducing the probability of purchasing many other products. In new Recommender Systems, several criteria are used to evaluate the recommenders. One of the evaluation criteria is novelty, which emphasizes that the product is unknown to the user. Converting this definition into a quantitative criterion is challenging. In this research, we proposed a method to create Novel Recommendations in multi-criteria Recommender Systems. In this method, the circle of friends is considered as a user's knowledge resources about products. A recommender system is implemented considering the criteria of novelty, accuracy, and coverage and compared with the classical recommender system.

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APA: Copy

Sheikhi Darani, Zahra, & HOSSEINI, MONIREH. (). . . SID. https://sid.ir/paper/1047273/en

Vancouver: Copy

Sheikhi Darani Zahra, HOSSEINI MONIREH. . . Available from: https://sid.ir/paper/1047273/en

IEEE: Copy

Zahra Sheikhi Darani, and MONIREH HOSSEINI, “,” presented at the . , [Online]. Available: https://sid.ir/paper/1047273/en

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