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A Comparative Study of Information Service Quality of E-commerce Sites' Recommender Systems-Take Taobao, Jingdong and Amazon as Examples
Received date: 2016-09-14
Revised date: 2016-11-17
Online published: 2016-12-05
[Purpose/significance] Recommender system has already been one of the most important parts of an e-commerce site and provides users with a variety of forms of information recommendation service.Nowadays, recommender systems in e-commerce sites such as Taobao, Jingdong and Amazon have adopted different frameworks and a variety of hotspot recommendation technologies,and paid more and more attention to quality of information service. [Method/process] Therefore,firstly,we take the user experience as the basis for evaluating quality of information service and compare the influence of frameworks of the recommender systems mentioned above on the quality of recommendation service.Secondly, we study the research hotspots and the trend of the RecSys in recent 5 years, based on which we carry out an investigation of users' expectation and preference of these hotspots.Lastly, we conduct an evaluating experiment of user experience in e-commerce recommendation aiming at these e-commerce sites and make a comparative analysis. [Result/conclusion] With the help of the research, investigation and experiment mentioned above, finally we come up with some strategies onhow to optimize the framework of recommender systems, pick up suitable hotspot recommendation technologies, and perfect the recommendation modules in e-commerce sites, all of which can apparently improve the quality of information service of e-commerce sites' recommender systems.
Key words： recommender system; user experience; e-commerce; information service
Hong Liang , Ren Qiuyuan , Liang Shuxian . A Comparative Study of Information Service Quality of E-commerce Sites' Recommender Systems-Take Taobao, Jingdong and Amazon as Examples[J]. Library and Information Service, 2016 , 60(23) : 97 -110 . DOI: 10.13266/j.issn.0252-3116.2016.23.013
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