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A Comparative Study on the Subsequent Clicks of Mobile Library and Non-mobile Library
Received date: 2016-08-10
Revised date: 2016-09-13
Online published: 2016-09-20
[Purpose/significance] This paper studies the differences when users access library OPAC via mobile and computer terminals. [Method/process] It uses log mining method to analyze users' subsequent clicks behavior on mobile and computer terminals. [Result/conclusion] There are many differences between mobile and computer terminals in terms of the number of follow-clicks and the first click type. However, in some other aspects such as page depth, the behaviors between the two kind of devices are similar.
Wu Dan , Jin Xin , Wang Linlin . A Comparative Study on the Subsequent Clicks of Mobile Library and Non-mobile Library[J]. Library and Information Service, 2016 , 60(18) : 27 -34 . DOI: 10.13266/j.issn.0252-3116.2016.18.004
[1] JASPERSON J S, CARTER P E, ZMUD R W. A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems[J]. MIS quarterly, 2005, 29(3):525-557.
[2] LIMAYEM M, HIRT S G, CHEUNG C M K. How habit limits the predictive power of intention:the case of information systems continuance[J]. MIS quarterly, 2007,31(4):705-737.
[3] 岑荣伟, 刘奕群, 张敏, 等. 网络检索用户行为可靠性分析[J]. Journal of software, 2010, 21(5):1055-1066.
[4] JOACHIMS T, GRANKA L, PAN B, et al. Accurately interpreting clickthrough data as implicit feedback[C]//Proceedings of the 28th annual international ACM SIGIR conference on research and development in information retrieval. New York:ACM, 2005:154-161.
[5] AGICHTEIN E, BRILL E, DUMAIS S, et al. Learning user interaction models for predicting Web search result preferences[C]//Proceedings of the 29th annual international ACM SIGIR conference on research and development in information retrieval. New York:ACM, 2006:3-10.
[6] 王继民, 彭波. 搜索引擎用户点击行为分析[J]. 情报学报, 2006, 25(2):154-162.
[7] CRASWELL N, ZOETER O, TAYLOR M, et al. An experimental comparison of click position-bias models[C]//Proceedings of the 2008 international conference on Web search and data mining. New York:ACM, 2008:87-94.
[8] GUO F, LIU C, WANG Y M. Efficient multiple-click models in Web search[C]//Proceedings of the second ACM international conference on Web search and data mining. New York:ACM, 2009:124-131.
[9] DAVIS F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS quarterly, 1989,13(3):319-340.
[10] AJZEN I. The theory of planned behavior[J]. Organizational behavior and human decision processes, 1991, 50(2):179-211.
[11] TAYLOR S, TODD P. Assessing IT usage:the role of prior experience[J]. MIS quarterly, 1995,19(4):561-570.
[12] BHATTACHERJEE A. Understanding information systems continuance:an expectation-confirmation model[J]. MIS quarterly, 2001,25(3):351-370.
[13] BHATTACHERJEE A, PEROLS J, SANFORD C. Information technology continuance:a theoretic extension and empirical test[J]. Journal of computer information systems, 2008, 49(1):17-26.
[14] 刘鲁川, 王菲. 移动浏览器用户的感知匹配与持续使用意向研究[J]. 情报科学, 2014, 32(2):106-111.
[15] 洪红, 徐迪. 移动社交应用的持续使用意愿影响因素研究——探讨网络外部性和羊群行为的共同作用[J]. 经济管理, 2015(5):40-50.
[16] MOULAISON H L. OPAC queries at a medium-sized academic library[J]. Library resources & technical services, 2011, 52(4):230-237.
[17] ISHITA E, MINE S, KOIZUMI M, et al. Analyzing OPAC use with screen views and eye tracking[C]//Proceedings of the 9th ACM/IEEE-CS joint conference on digital libraries. New York:ACM, 2009:405-406.
[18] ARIVAPALA P G, EDZAN N N. Foreign postgraduate students and the online catalogue at the university of Malaya library[J]. Malaysian journal of library and information science, 2002, 7(1):57-68.
[19] LOMBARDO S V, CONDIC K S. Empowering users with a new online catalog[J]. Library Hi Tech, 2000, 18(2):130-141.
[20] 姜婷婷, 王淼, 高慧琴. OPAC系统用户搜索行为日志分析——以武汉大学图书馆为例[J]. 图书情报知识, 2015(5):46-56.
[21] 王泽贤, 李美红. ILASⅡ OPAC系统访问日志建模初探[J]. 图书情报工作, 2010, 54(7):119-122.
[22] 马骅. 数据挖掘在OPAC中的发展应用分析[J]. 新世纪图书馆, 2011(11):75-77.
[23] 黄崑, 张路路, 钟村, 等. 基于OPAC日志的高校图书馆用户提问调整模式研究——以北京师范大学图书馆为例[J]. 图书情报工作, 2015, 59(23):51-58.
[24] JANSEN B J. The methodology of search log analysis[M]//JANSEN B J, Spink A, Taksa I. Handbook of Research on Web Log Analysis. Hershey:Idea Group Inc. 2008:99-121.
[25] GÖKER A, HE D. Analysing Web search logs to determine session boundaries for user-oriented learning[C]//International conference on adaptive hypermedia and adaptive Web-based systems. Berlin:Springer, 2000:319-322.
[26] HE D, GÖKER A, Harper D J. Combining evidence for automatic web session identification[J]. Information processing & management, 2002, 38(5):727-742.
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