Selective Markov models for predicting Web page accesses
نویسندگان
چکیده
منابع مشابه
Integrating Markov Model with Clustering for Predicting Web Page Accesses
Predicting the next page to be accessed by Web users has attracted a large amount of research work lately due to the positive impact of such prediction on different areas of Web based applications. Major techniques applied for this intention are Markov model and clustering. Low order Markov models are coupled with low accuracy, whereas high order Markov models are associated with high state spa...
متن کاملA Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
The importance of predicting Web users’ behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models are the most commonly used approaches for this type of prediction. Association rules tend to generate many rules, which result in contradictory predictions for a user session. Low order Markov models do not use enough user br...
متن کاملPage Rank Prefetching for Optimzing Accesses to Web Page Clusters
This paper presents a Page Rank based prefetching technique for accesses to web page clusters. The approach uses the link structure of a requested page to determine the “most important” linked pages and to identify the page(s) to be prefetched. The underlying premise of our approach is that in the case of cluster accesses, the next pages requested by users of the web server are typically based ...
متن کاملPredicting Web Page Status
The World Wide Web has become a key intermediary between producers and consumers of information. Web’s linkage structure has been exploited by contemporary search engines to decrease the search cost for consumers while usually also rewarding the producers of higher status Web pages. In addition to influencing visibility and accessibility, in-links, as marks of recognition, accord status to a We...
متن کاملRecommendation Models for User Accesses to Web Pages
Predicting the next request of a user as she visits Web pages has gained importance as Web-based activity increases. There are a number of different approaches to prediction. Markov models and their variations, collaborative filtering models, or models based on pattern recognition techniques such as sequence mining, association rule mining, clustering user sessions or user, have been found well...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Transactions on Internet Technology
سال: 2004
ISSN: 1533-5399,1557-6051
DOI: 10.1145/990301.990304