NDLI: An efficient recommendation method based on server Web-logs

Content Provider	IEEE Xplore Digital Library
Author	Kai Gao Yongcheng Wang Gang Li
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China (Kai Gao; Yongcheng Wang; Gang Li)
Abstract	In this paper, we propose a predictive framework based on server Web log. We use profile to discover the community's interest and an effective index structure named session-tree to perform recommendation. We convert server log into a tree structure. After labeling and linking nodes in the session-tree, we can do sequential matching and recommendation. We present an award function in each session based on evolutionary strategy to train the recommendation process and then analyze the common interest within the community. The session-tree structure enables us to retrieve all subsequences both by events and timestamps efficiently. Based on those mechanisms, we predict individuals' coming request and recommend Web pages in server site both on individual and common interest. Through analyzing experimental results, we conclude this method based on adaptive session generation, sequence matching, index structure, evolutionary strategy and common interest profile can recommend well.
Sponsorship	Wuhan Univ. Univ. of Aizu, Japan Nat. Natural Sci. Found. China IEEE Eng. in Medicine and Biology Soc
Starting Page	851
Ending Page	856
File Size	301582
Page Count	6
File Format	PDF
ISBN	0769522165
DOI	10.1109/CIT.2004.1357301
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Tree data structures Feedback Web pages Search engines Data structures Labeling Web sites Joining processes Web server
Content Type	Text
Resource Type	Article

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