Non-textual Document Ranking Using Crawler Information and Web Usage Mining

Kiewra, Maciej; Nguyên, Ngoc Thanh

doi:10.1007/11552451_70

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Adaptrank -A Fuzzy-based Recommendation Methods1

The Recommendation Model For Hypertext Systems1

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2009

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Cited by 2 publications

(2 citation statements)

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“…It can depend on the statistical features of documents (e.g. on the set F d from Definition 1) [8]. Similarly, the value of function q may be determined by the hyperlink structure (see the set L d from Definition 1).…”

Section: Adaptrank -A Fuzzy-based Recommendation Methodsmentioning

confidence: 99%

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A fuzzy-based method for improving recall values in recommender systems

Kiewra

Nguyên

2009

Journal of Intelligent &Amp; Fuzzy Systems

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In this paper a fuzzy-based recommendation method is presented. Its main goal is to improve the recommendation recall maintaining high recommendation precision. The formal model has been built to describe the method and to analyze how the measures used in traditional Information Retrieval may be adapted to evaluate the effectiveness of recommendation process. The original contributions consist among others of proving several properties which show that the method is able to adapt to changing user's needs and achieving the maximum effectiveness if the component methods work properly.

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Section: Adaptrank -A Fuzzy-based Recommendation Methodsmentioning

confidence: 99%

“…The most popular magnitudes used in web environments are document visit frequency and opening rate (i.e. the ratio of the sessions' number in which the document d was visited as the first to the total number of sessions in which the document d was visited) [8].…”

Section: The Recommendation Model For Hypertext Systemsmentioning

confidence: 99%