NDLI: A devised framework for content recommendation system using collaborative log mining

Content Provider	IEEE Xplore Digital Library
Author	Varnagar, C.R. Madhak, N.N. Kodinariya, T.M. Agrawal, R.S.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Eng., Atmiya Inst. of Technol. & Sci., Rajkot, India (Varnagar, C.R.; Madhak, N.N.; Kodinariya, T.M.; Agrawal, R.S.)
Abstract	Internet is proving to play such an important role in our everyday life that it is almost impossible to survive without it. The World Wide Web (WWW) has inclined a lot to both users (visitors) as well as the web site owners. Enormous growth of World Wide Web increases the complexity for users to browse effectively and efficiently. Users visit a web site with a quench of getting useful information he/she is interested in. So as to satisfy user's objective and goal of searching web sites, betterment in web site design, web server activities are required to be changed as per users' interests. To achieve this analysis of user access pattern, which are captured in the form of log files is required, known as Web Usage Mining (WUM). Content recommendation system suggests and assists in selecting the content from wide and complex search space, which match with visitors interest, and which are unknown to them. Amount and type of interaction with web page captured at client side is an indicative measure of appropriateness of the content presented. Here in this paper, we provide detailed survey on various approaches for content recommendation and work done so far in this area, and proposed an hybrid approach that considers data gathered at client side along with web server's web log data, which will be used collaboratively to recommend a content.
Sponsorship	IEEE Kerala Sect.
Starting Page	532
Ending Page	539
File Size	402740
Page Count	8
File Format	PDF
ISBN	9781467350891
e-ISBN	9781467350907
DOI	10.1109/iMac4s.2013.6526470
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Navigation Web log mining Web usage mining Web pages Content Recommendation Web servers Browsers Recommender System Client side log mining Data mining Client log
Content Type	Text
Resource Type	Article

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