منابع مشابه
Improved Web Page Recommender System Based on Web Usage Mining
Web now becomes the backbone of the information. Today the major concerns are not the availability of information but rather obtaining the right information. Mining the web aims at discovering the hidden and useful knowledge from web hyperlinks, contents or usage logs. This paper focuses on improving the prediction of the next visited web pages and recommends them to the current anonymous user ...
متن کاملUPR: Usage-based Page Ranking for Web Personalization1
Recommendation algorithms aim at proposing “next” pages to a user based on her navigational behavior. In the vast majority of related algorithms, only the usage data are used to produce recommendations. We claim that taking also into account the web structure and using link analysis algorithms ameliorates the quality of recommendations. In this paper we present UPR, a personalization algorithm ...
متن کاملA Model for Web Page Usage Mining Based on Segmentation
The web page usage mining plays a vital role in enriching the page’s content and structure based on the feedbacks received from the user’s interactions with the page. This paper proposes a model for micro-managing the tracking activities by fine-tuning the mining from the page level to the segment level. The proposed model enables the web-master to identify the segments which receives more focu...
متن کاملA Graph-Based Web Usage Mining Considering Page Browsing Time
With the increase of large web sites which have complex link structures, web access logs have caught attention as a clue for web site administrators to understand user’s needs and demands. While conventional statistical analysis is used for most of the cases, web usage mining is an emerging attempt to apply data-mining based technique to web access log analyses. However, statistical and data-mi...
متن کاملintegrating web content mining into web usage mining for finding patterns and predicting users’ behaviors
with the increased confidence in the use of the internet and the world wide web, the number of electronic commerce (e-commerce) transactions is growing rapidly. therefore, finding useful patterns and rules of users’ behaviors has become the critical issue for e-commerce and can be used to tailor e-commerce services in order to successfully meet the customers’ needs. this paper proposes an appro...
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ژورنال
عنوان ژورنال: IJARCCE
سال: 2014
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2017.64150