A Generic Recommendation System based on Inference and Combination of OWL-DL Ontologies

Martins, Hélio; Silva, Nuno

doi:10.1007/978-94-007-0093-2_9

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…One of the widely used types of adaptive techniques is recommendation systems. The main role of such systems is to provide users with the most appropriate functions or products among large catalogues [8]. These types of systems typically depend on two types of techniques for recommendations: content-based recommendation and collaborative filtering [9].…”

Section: A Recommendation Systemsmentioning

confidence: 99%

AWRT: A Recommender System for Improving Revisiting Web Pages

Alharbi¹

2013

JCP

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Web revisit has become one of the dominant phenomena in the web. Nevertheless, standard revisit features in typical web browsers currently do not significantly support this phenomenon. Various efforts, therefore, have been carried out to provide web users with approaches for facilitating web revisit. However, these approaches burden users with management tasks such as flagging and marking. This paper presents a novel approach, called the Adaptive Web Revisit Tool (AWRT), which helps facilitate revisiting web pages without involving users with any actions. In a similar way to the recommendation systems of well-known e-commerce websites, pages that are most likely to be revisited are adaptively recommended to users based on three attributes: frequency of visits, relation to current web page, and time per visit. AWRT consists of three main features: most visited pages (MVP), related pages (RP) and browsing behavior pages (BBP). AWRT was evaluated in terms of efficiency and usability using logging files and a satisfaction questionnaire. The results demonstrated an overall high rate of revisiting using AWRT when compared to a typical web browser i.e. Internet Explorer (IE) and a high users' satisfaction was demonstrated as well. Therefore, incorporating recommendation systems and adaptive techniques such AWRT can significantly improve web revisit.

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Section: A Recommendation Systemsmentioning

confidence: 99%

AWRT: A Recommender System for Improving Revisiting Web Pages

Alharbi¹

2013

JCP

View full text Add to dashboard Cite

show abstract

A Generic Recommendation System based on Inference and Combination of OWL-DL Ontologies

Cited by 1 publication

References 12 publications

AWRT: A Recommender System for Improving Revisiting Web Pages

AWRT: A Recommender System for Improving Revisiting Web Pages

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