An Adaptive Recommendation Method Based on Small-World Implicit Trust Network

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Provided by: Academy Publisher
Topic: Networking
Format: PDF
Collaborative Filtering (CF) is widely used in e-commerce recommender systems, which helps the online users to identify the right products to purchase. However, CF-based recommender systems suffer poor quality of recommendation due to the sparsity issue. To address this problem, in this paper, the authors propose an adaptive recommendation method based on small-world implicit trust network. They first present a method to construct the small-world implicit trust network based on user clustering and implicit trust among users.
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