ROSA — Multi-agent System for Web Services Personalization

Kazienko, Przemysław; Kiewra, Maciej

doi:10.1007/3-540-44831-4_31

Cited by 17 publications

(17 citation statements)

References 10 publications

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“…User Session Monitor captures user HTTP requests and groups them into sessions using the JSP servlet session mechanism (Kazienko and Kiewra, 2003). It preserves data about the active user session and sends it (the set of pages visited during the session) to Session Preprocessor just after the session has finished.…”

Section: Architecture Of the Recommender Systemmentioning

confidence: 99%

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Mining Indirect Association Rules for Web Recommendation

Kazienko¹

2009

International Journal of Applied Mathematics and Computer Science

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Classical association rules, here called "direct", reflect relationships existing between items that relatively often co-occur in common transactions. In the web domain, items correspond to pages and transactions to user sessions. The main idea of the new approach presented is to discover indirect associations existing between pages that rarely occur together but there are other, "third" pages, called transitive, with which they appear relatively frequently. Two types of indirect associations rules are described in the paper: partial indirect associations and complete ones. The former respect single transitive pages, while the latter cover all existing transitive pages. The presented IDARM* Algorithm extracts complete indirect association rules with their important measure-confidence-using pre-calculated direct rules. Both direct and indirect rules are joined into one set of complex association rules, which may be used for the recommendation of web pages. Performed experiments revealed the usefulness of indirect rules for the extension of a typical recommendation list. They also deliver new knowledge not available to direct ones. The relation between ranking lists created on the basis of direct association rules as well as hyperlinks existing on web pages is also examined.

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Section: Architecture Of the Recommender Systemmentioning

confidence: 99%

“…The knowledge update problem was tackled by the introduction of a special update method into the architecture (Kazienko and Kiewra, 2003).…”

Section: 6) Complex Association Rule Miner Operates Off-linementioning

confidence: 99%

Mining Indirect Association Rules for Web Recommendation

Kazienko¹

2009

International Journal of Applied Mathematics and Computer Science

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“…The knowledge update problem was solved by introduction of special update method into multi-agent architecture [6]. Direct association rules represent regularities discovered from a large data-set [1].…”

Section: Httpmentioning

confidence: 99%

“…Agents not only interchange information, but they also possess their own knowledge. The presented method is closely related to the web recommendation ROSA project [5,6,7,8].…”

Section: Introductionmentioning

confidence: 99%

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Multi-agent Web Recommendation Method Based on Indirect Association Rules

Kazienko

2004

Lecture Notes in Computer Science

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Abstract. Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data -historical user sessions. Presented in the paper new approach extends typical, direct association rules with indirect ones, which reflect associations existing "between" rather than "within" web user sessions. Both rule types are combined into complex rules which are used to obtain ranking lists needed for recommendation of pages in the web site. All recommendation tasks are distributed between many agents that communicate and transfer their knowledge one another.

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WindOwls-Adaptive System for the Integration of Recommendation Methods in E-Commerce

Kazienko

Kołodziejski

2005

Lecture Notes in Computer Science

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ROSA — Multi-agent System for Web Services Personalization

Cited by 17 publications

References 10 publications

Mining Indirect Association Rules for Web Recommendation

Mining Indirect Association Rules for Web Recommendation

Multi-agent Web Recommendation Method Based on Indirect Association Rules

WindOwls-Adaptive System for the Integration of Recommendation Methods in E-Commerce

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