Enabling scalable online personalization on the web

VanderMeer, Debra ; Dutta, Kaushik ; Datta, Anindya ; Ramamritham, Krithi ; Navanthe, Shamkant B. (2000) Enabling scalable online personalization on the web Proceedings of the 2nd ACM conference on Electronic commerce . pp. 185-196.

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Official URL: http://dl.acm.org/citation.cfm?id=352892

Related URL: http://dx.doi.org/10.1145/352871.352892

Abstract

Online personalization is of great interest to e-companies. Virtually all personalization technologies are based on the idea of storing as much historical customer session data as possible, and then querying the data store as customers navigate through a web site. The holy grail of on-line personalization is an environment where fine-grained, detailed historical session data can be queried based on current online navigation patterns to formulate real-time responses. Unfortunately, as more consumers become e-shoppers, the user load and the amount of historical data continue to increase, causing scalability-related problems for almost all current personalization technologies. This paper chronicles the development of a real-time interaction management engine through the integration of historical data and on-line visitation patterns of e-commerce site visitors. This paper describes the scientific underpinnings of the system, as well as the architecture and a performance evaluation The experimental evaluation shows that our caching and storage techniques deliver performance that is orders of magnitude better than those derived from off-the-shelf database components.

Item Type:Article
Source:Copyright of this article belongs to Association for Computing Machinery.
ID Code:94287
Deposited On:05 Sep 2012 06:21
Last Modified:05 Sep 2012 06:21

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