An Original Search Results Ranking Algorithm based on C2C Platform

Ziming ZENG, Xinping ZHANG

Abstract


C2C E-Commerce has been growing at a very high speed in China in recent years. Consumers usually access commodities information with the help of search tools .Thus, how to rank the search results in a rational order is a crucial issue. In this paper, the factors influencing search results ranking are first analyzed, then an original search results ranking algorithm based on Vector Space Model (VSM) is proposed. An experiment is carried out to testify its validity. The experiment results show that consumers can enjoy a wonderful search experience with the presented algorithm.

References


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