Abstract
E-commerce has become popular and profitable because it provides lots of convenience for both retailers and buyers. We introduce an idea that co-purchase network may have correlation with image shape feature. We develop a simple image shape retrieval model to automatically identify the items that the buyer would be interested. The results provide new insights into user behavior. Based on the results, we found that people would buy items which are similar in shape with the item that they have already selected. Based on this finding, it can provide more personalized recommendation of co-purchase items to the customer.
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Li, X., Lai, J. (2018). Analysis of the Dynamic Co-purchase Network Based on Image Shape Feature. In: Lin, JW., Pan, JS., Chu, SC., Chen, CM. (eds) Genetic and Evolutionary Computing. ICGEC 2017. Advances in Intelligent Systems and Computing, vol 579. Springer, Singapore. https://doi.org/10.1007/978-981-10-6487-6_12
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DOI: https://doi.org/10.1007/978-981-10-6487-6_12
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