AdaptRank: A Hybrid Method for Improving Recommendation Recall

Kiewra, Maciej; Nguyên, Ngoc Thanh

doi:10.1007/978-3-540-73325-6_106

Cited by 1 publication

(1 citation statement)

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“…Since information retrieval research has proved that the increase of recall usually causes the decrease in precision and vice versa (this phenomena is known as the recall-precision curve [13]), we will try to demonstrate that our method permits the maximum precision and recall to be achieved. This paper is an extended version of the conference paper [16], in which the formal model and results have been in short presented. In this work we extend the formal model of recommendation and include more its properties with their proofs, and the verification by experiments.…”

Section: Introductionmentioning

confidence: 99%

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: Introductionmentioning

confidence: 99%