Measuring the Coverage and Redundancy of Information Search Services on E-Commerce Platforms

Electronic Commerce Research and Applications, Volume 11, Issue 6, Pages 560-569.

10 Pages Posted: 17 Oct 2014

See all articles by Baojun Ma

Baojun Ma

School of Business and Management, Shanghai International Studies University

Qiang Wei

Tsinghua University - School of Economics & Management

Date Written: October 17, 2014

Abstract

Today’s widespread e-commerce applications pose a new challenge to information search services. They must extract a useful small set of search or recommendation results from a larger set that preserves information diversity. This paper proposes a novel metric setting to measure two important aspects of information diversity, information coverage and information redundancy. In addition to content coverage, we consider another important measure of information coverage called structure coverage, and model it using information entropy. This approach can better convey the information coverage of the extracted small set with respect to the original large set. The proposed metrics are effective and have various useful properties, which are demonstrated by theoretical and experimental analysis. We also designed a calculation method that shows good computational efficiency. Finally, we conducted an experiment using real data from online customer reviews to further emphasize the0 effectiveness of the proposed metrics.

Keywords: Information Coverage, Information Redundancy, Information Search, Information Structure

Suggested Citation

Ma, Baojun and Wei, Qiang, Measuring the Coverage and Redundancy of Information Search Services on E-Commerce Platforms (October 17, 2014). Electronic Commerce Research and Applications, Volume 11, Issue 6, Pages 560-569., Available at SSRN: https://ssrn.com/abstract=2511122

Baojun Ma

School of Business and Management, Shanghai International Studies University ( email )

1550 Wen Xiang Rd.
Songjiang District
Shanghai, Shanghai 201620
China

HOME PAGE: http://baojunma.com/index_en.html

Qiang Wei (Contact Author)

Tsinghua University - School of Economics & Management ( email )

Beijing, 100084
China
+86-10-62789824 (Phone)
+86-10-62771647 (Fax)

HOME PAGE: http://www.sem.tsinghua.edu.cn/en/weiq

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