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An efficient web recommendation system using collaborative filtering and pattern discovery algorithms.
| Content Provider | CiteSeerX |
|---|---|
| Author | Suguna, R. Sharmila, D. |
| Abstract | Information is overloaded in the Internet due to the unstable growth of information and it makes information search as complicate process. Web recommendation systems assist the users to get the exact information and facilitate the information search easier. Web recommendation is one of the techniques of web personalization, which recommends web pages to the user based on the previous browsing history. It is done either content based approach or collaborative filtering approach. In this paper web usage mining is considered as the major source for web recommendation in association with Collaborative filtering approach, association rule mining and Markov model to recommend the web pages to the user. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Efficient Web Recommendation System Collaborative Filtering Pattern Discovery Algorithm Web Recommendation Web Page Information Search Collaborative Filtering Approach Association Rule Mining Previous Browsing History Major Source Web Recommendation System Unstable Growth Usage Mining Complicate Process Exact Information Information Search Easier Web Personalization Markov Model |
| Content Type | Text |
| Resource Type | Article |
