Improving Search Results Based on Users' Browsing Behavior Using Apriori Algorithm

被引：2
|
作者：
Deepika [1 ]
Juneja, Shilpa [1 ]
Dixit, Ashutosh [1 ]
机构：
[1] YMCA Univ Sci & Technol, Dept Comp Engn, Faridabad, India
来源：
SOFTWARE ENGINEERING (CSI 2015) | 2019年 / 731卷
关键词：
World wide web; Apriori algorithm; Browsing behavior; Actions; Web browser; PageRank;
D O I：
10.1007/978-981-10-8848-3_7
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
World Wide Web (WWW) is decentralized, dynamic, and diverse. It is growing exponentially in size. To improve search results, various ranking methods are being used. Due to vast information on the Web, there is a need to build an intelligent technique that automatically evaluates Web pages that are of user interest. In this paper, interest of a user in a particular Web page can be estimated by his browsing behavior without incurring additional time and effort by the user. It can also adapt to changes in user's interests over time. A page ranking mechanism is being proposed which takes user's actions into account. For this, a Web browser has been developed to store user's behavior. Apriori algorithm is applied on the data collected by Web browser which results in most frequent actions out of all actions. A calculated confidence value has been used to calculate weight of the Web page. Higher the weight, higher the rank.
引用
收藏
页码：73 / 82
页数：10
相关论文
共 50 条
  • [31] Improving personalized search on the social web based on similarities between users
    1600, Springer Verlag (8720):
  • [32] Using web archive for improving search engine results
    Jatowt, A
    Kawail, Y
    Tanaka, K
    FRONTIERS OF WWW RESEARCH AND DEVELOPMENT - APWEB 2006, PROCEEDINGS, 2006, 3841 : 893 - 898
  • [33] Improving coalition structure search with an imperfect algorithm: analysis and evaluation results
    Narayan Changder
    Samir Aknine
    Animesh Dutta
    Artificial Intelligence Review, 2021, 54 : 397 - 425
  • [34] Efficient browsing of Web search results on mobile devices based on block importance model
    Xie, X
    Miao, GX
    Song, RH
    Wen, JR
    Ma, WY
    THIRD IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS, PROCEEDINGS, 2005, : 17 - 26
  • [35] Improving coalition structure search with an imperfect algorithm: analysis and evaluation results
    Changder, Narayan
    Aknine, Samir
    Dutta, Animesh
    ARTIFICIAL INTELLIGENCE REVIEW, 2021, 54 (01) : 397 - 425
  • [36] Organizing Video Search Results to Adapted Semantic Hierarchies for Topic-based Browsing
    Wang, Jiajun
    Jiang, Yu-Gang
    Wang, Qiang
    Yang, Kuiyuan
    Ngo, Chong-Wah
    PROCEEDINGS OF THE 2014 ACM CONFERENCE ON MULTIMEDIA (MM'14), 2014, : 845 - 848
  • [37] Improving the Precision of Third-Party Results by Monitoring Browsing Behaviour and Evolution in Internet Search Engine Caches
    Anagnostopoulos, Ioannis
    JOURNAL OF INTERNET TECHNOLOGY, 2010, 11 (01): : 11 - 23
  • [38] Improving the Retrieval of Arabic Web Search Results Using Enhanced k-Means Clustering Algorithm
    Alsuhaim, Amjad E.
    Azmi, Aqil M.
    Hussain, Muhammad
    ENTROPY, 2021, 23 (04)
  • [39] Improving Pervasive Application Behavior Using Other Users' Information
    Spence, Mike
    Clarke, Siobhan
    CASE-BASED REASONING RESEARCH AND DEVELOPMENT, 18TH INTERNATIONAL CONFERENCE ON CASE-BASED REASONING, ICCBR 2010, 2010, 6176 : 495 - 509
  • [40] New architectures for presenting search results based on Web search engines users experience
    Martinez, F. J.
    Pastor, J. A.
    Rodriguez, J. V.
    Lopez, Rosana
    Rodriguez, J. V., Jr.
    INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL, 2011, 16 (01):
12345