A Collaborative Filtering Schema on Second-hand Commodity Online Trading

Mingruo Shi

《World Scientific Research Journal》 7卷1期 (2021/01) Pp. 28-32

https://doi.org/10.6911/WSRJ.202101_7(1).0005

摘要

Second-hand commodity trading is getting even more popular due to the online shopping convenience. It's, however, is big challenge to pay high delivery cost even if a buyer just buys a very cheap item so that in most cases the potential deal fails to make eventually. A collaborative filtering schema is proposed to recommend relevant commodities available nearby the locations of seller to buyer so that the deal could be. Essentially, our proposal is to make shipment cost acceptable to buyer by combining multiple items together from multiple sellers. More specifically, low rank matrix factorization is leveraged to recommend top n similar commodities for each user selected commodity with in same geo-location.

關鍵字

Second-hand commodity ； Collaborative filtering ； Delivery cost ； Low rank matrix factorization

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