A Framework for Discovering Similar Products from Online Bookstore

Abstract

Online bookstores have attracted millions of people and helped provide them hopeful books. Similarity search over on-line book store mainly focuses on finding the top-K most similar products for a given query. In this paper, we discuss how to find similar products for a given query product, and propose a framework for finding similar products from online bookstore. We firstly build the co-purchasing network by using the relationships between different type products, and then compute the similarity between products using SimRank. Finally, we give some experimental results by implementing this method on Amazon dataset, which demonstrate that the proposed method can find the underlying results over real dataset.

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Cite this paper

@article{Zhang2015AFF, title={A Framework for Discovering Similar Products from Online Bookstore}, author={Mingxi Zhang and Chao Song}, journal={2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)}, year={2015}, pages={18-21} }