Wyniki wyszukiwania - Biblioteka Nauki

Ten serwis zostanie wyłączony 2025-02-11.

Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl

Ograniczanie wyników

2 2009

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Mining indirect association rules for web recommendation

100%

Kazienko P.

tom Vol. 19, no 1

165-186

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.

Evaluation of node position based on email communication

51%

Kazienko P. , Musiał K. , Zgrzywa A.

Control and Cybernetics

2009

tom Vol. 38, no 1

67-86

Rapid development of various kinds of social networks within the Internet enabled investigation of their properties and analyzing their structure. An interesting scientific problem in this domain is the assessment of the node position within the directed, weighted graph that represents the social network of email users. The new method of node position analysis, which takes into account both the node positions of the neighbors and the strength of connections between network nodes, is presented in the paper. The node position can be used to discover key network users, who are the most important in the population and who have potentially the greatest influence on others. The experiments carried out on two datasets enabled studying the main properties of the new measure.