Characterizing Web users based on their required criteria

Ming Yi Shih, Syun Sian Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to run a successful website, it is significantly crucial for website owners to understand users' intentions and desires. By capturing these information, they can provide better service and enhance marketing strategy to achieve this goal. Web usage mining (WUM) is an application that can help people to explore the useful patterns of users' browsing usages. Traditionally, it discovers knowledge from Web log data. However in some websites, they offer a service that users can select or enter some required criteria from fields, and these information will be saved online. These criteria show the intentions or desires of a certain object required for this user. Interested persons can enter queries or browse categories to find these posted cases. In this paper, clustering method is applied to group similar users based on these collected required criteria in a website. When dataset is huge, it is difficult to find the characteristics of individual group. Thus association rule mining is applied to each cluster. The generated rules can be inferred to identify the interests and characteristics of users in each group. Finally, marketing decision can be made especially for each group's users.

Original languageEnglish
Title of host publicationProceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages422-426
Number of pages5
ISBN (Electronic)9781631900631
DOIs
Publication statusPublished - 2015 Nov 19
Event11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015 - Taipei, Taiwan
Duration: 2015 Aug 192015 Aug 20

Publication series

NameProceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015

Other

Other11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015
CountryTaiwan
CityTaipei
Period15-08-1915-08-20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Shih, M. Y., & Huang, S. S. (2015). Characterizing Web users based on their required criteria. In Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015 (pp. 422-426). [7332606] (Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.4108/eai.19-8-2015.2260878