Computer Science ›› 2017, Vol. 44 ›› Issue (11): 125-133.doi: 10.11896/j.issn.1002-137X.2017.11.020

Previous Articles     Next Articles

Research on Quality Evaluation Approaches for Search Function of Online Shopping Platforms

CHEN Hao, TAO Chuan-qi and WEN Wan-zhi   

  • Online:2018-12-01 Published:2018-12-01

Abstract: With the rapid development of big data,various big data applications are now in service in different fields.Typical big data applications,such as online shopping and retailing platform,face recognition system,intelligent decision system,self-help service system,medical treatment system make daily life more convenient.Search system is one of the most used big data applications.However,search system varies in different platforms,and there are few standards for it.The quality of search system is hard to assure and validate.Search engine for online shopping systems combines text search and classification-based retrieval comparing to common text search engines.It is harder to validate and evaluate quality of it.Through studying on search system of online shopping platform,some quality factors and relational implementation algorithm were provided in this paper to validate and evaluate shopping system search engines.Experiments were also carried out to assure the correctness of the quality index.

Key words: Search engines,Quality factors,Quality index,Quality evaluation,Online shopping search

[1] WIGAN M R,CLARKE R.Big Data’s Big Unintended Consequences[J].Computer,2013,46(6):46-53.
[2] LIANNOS I,MOTCHENKOVA E.Market dominance andsearch quality in the search engine market[J].Journal of Competition Law & Economics,2013,9(2):419-455.
[3] HAWKING D,CRASWELL N,BAILEY P,et al.MeasuringSearch Engine Quality[J].Information Retrieval,2001,4(1):33-59.
[4] LOSEE R M,PARIS L A H.Measuring search-engine quality and query difficulty:Ranking with target and freestyle[J].Journal of the American Society for Information Science,1999,50(10):882-889.
[5] E V C.Is Relevance Relevant? Market,Science,and War:Discourses of Search Engine Quality[J].Journal of Computer-Mediated Communication,2007,12(3):866-887.
[6] GAO J,XIE C,TAO C.Big Data Validation and Quality Assu-rance -- Issuses,Challenges,and Needs[C]∥IEEE,IEEE International Symposium on Service-Oriented System Engineering.2016:433-441.
[7] ZHOU Z Q,XIANG S,CHEN T Y.Metamorphic Testing forSoftware Quality Assessment:A Study of Search Engines[J].IEEE Transactions on Software Engineering,2016,43(3):264-284.
[8] PHELAN T,PATEL A,CIARDHUIN S O.Simulation Based Approach to Evaluate a Distributed Search Engine[C]∥Iadis International Conference Www/internet 2003(Icwi 2003).Algarve,Portugal,2003:347-354.
[9] GOEL S,YADAV S.Search engine evaluation based on page level keywords[C]∥Advance Computing Conference.2013:870-876.
[10] LAZARINIS F,EFTHIMIADIS E N.Measuring search engine quality in image queries in 10 non-English languages:an exploratory study[C]∥Proceeding of the,ACM Workshop on Improving Non English Web Searching(Inews 2008).Napa Valley,California,USA,2008:89-92.
[11] TIAN X,LU Y,YANG L.Query Difficulty Prediction for Web Image Search[J].IEEE Transactions on Multimedia,2012,14(4):951-962.
[12] WANG N.Design and Implementation of a Crawling System in Shopping Search Engine[C]∥Second International Workshop on Computer Science and Engineering,2009(WCSE’09).IEEE,2009:212-216.
[13] MOORE T J,KELLEY W C,WILSON A R.Online Shopping Search Engine for Vehicle Parts:US,US20090019008[P].2009.
[14] PARK S,CHO K,CHOI K.Information Seeking Behavior ofShopping Site Users:A Log Analysis of Popshoes,a Korean Shopping Search Engine[J].Journal of the Korean Society for Information Management,2015,32(4):289-305.
[15] LI S W,QIAN X D.Model of personalized online shoppingsearch engine[J].Application Research of Computers,2010,27(16):2176-2180.(in Chinese) 李世威,钱晓东.一种构建个性化网络购物搜索引擎模型研究[J].计算机应用研究,2010,7(6):2176-2180.
[16] LIHAILONG L,LIUYU L.Shopping search engine technology based on services[C]∥Conference on Applied Computer Scince.2008:420-423.
[17] TAO Y H,SUN M S,WANG X G.Evaluation system of Internet search engine [J].computer engineering and science,2001,23(3):25-27.(in Chinese) 陶跃华,孙茂松,王锡钢.因特网搜索引擎评价系统[J].计算机工程与科学,2001,23(3):25-27.
[18] CEN R W.Research on the evaluation of search engine based on user behavior analysis [D].Beijing:Tsinghua University,2010.(in chinese) 岑荣伟.基于用户行为分析的搜索引擎评价研究[D].北京:清华大学,2010.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!