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An Efficient Cluster Based Web Object Filters From Web PreFetching And Web Caching On Web User Navigation (2012)
| Content Provider | CiteSeerX |
|---|---|
| Author | Jayasudha, S. |
| Description | The World Wide Web is a distributed internet system, which provides dynamic and interactive services includes on line tutoring, video/audio conferencing, e-commerce, and etc., which generated heavy demand on network resources and web servers. It increase over the past few year at a very rapidly rate, due to which the amount of traffic over the internet is increasing. As a result, the network performance has now become very slow. Web Pre-fetching and Caching is one of the effective solutions to reduce the web access latency and improve the quality of service. The existing model presented a Cluster based pre-fetching scheme identified clusters of correlated Web pages based on users access patterns. Web Pre-fetching and Caching cause significant improvements on the performance of Web infrastructure. In this paper, we present an efficient Cluster based Web Object Filters from Web Pre-fetching and Web caching scheme to evaluate the web user navigation patterns and user references of product search. Clustering of web page objects obtained from pre-fetched and web cached contents. User Navigation is evaluated from the web cluster objects with similarity retrieval in subsequent user sessions. Web Object Filters are built with the interpretation of the cluster web pages related to the unique users by discarding redundant pages. Ranking is done on user’s web page product preferences at multiple sessions of each individual user. The performance is measured in terms of Objective function, Number of clusters and cluster accuracy. |
| File Format | |
| Language | English |
| Publisher Date | 2012-01-01 |
| Publisher Institution | Issue 3, No 2, ISSN (Online |
| Access Restriction | Open |
| Subject Keyword | Objective Function Pre-fetching Scheme Web Object Filter Product Search User Web Page Product Preference Web Page Object Efficient Cluster Video Audio Conferencing Web Caching Web User Navigation Pattern Unique User World Wide Web Past Year Interactive Service Caching Cause Significant Improvement Network Resource Web Cluster Cluster Web Page Web Cached Content Heavy Demand Web Infrastructure Web Server Similarity Retrieval User Reference Cluster Accuracy Correlated Web Page Redundant Page Multiple Session Subsequent User Session Web User Navigation User Access Pattern Network Performance Web Pre-fetching Line Tutoring Web Access Latency Effective Solution Individual User Distributed Internet System Web Object Filter Web Prefetching User Navigation |
| Content Type | Text |
| Resource Type | Article |
