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With the information explosion in the internet,web personalization becomes more and more important on the web.The paper designs a Browsing Behavior Personalized Information Recommendation System(BBIRS). A recommendation strategy puted forward in BBIRS,whitch through mine the web logs and interactive data by offline and online separately,and the user's intersting degree on the page been caculated by...
Information integration and interoperability among information sources are related problems that have received significant attention since early days of computer information processing. The objective of Web information integration system is to promote Web information collection, sharing and retrieval in distributed and heterogeneous environment. This paper puts forward an ontology-based approach to...
Along with the development of internet, a lot of new data appears in the web every day. To construct a retrieval model to adapt the new data quickly and to retrieval the new documents accurately is becoming an important research topic. In this paper, we put forward a new retrieval model by incorporating the theory of transfer learning with Markov Network. Firstly, compare term spaces network of old...
Many knowledge workers are increasingly using online resources to find out latest developments in their specialty and articles of interest. To extract relevant information from such multiple online information sources summarization is being used. Current summarization systems produce a uniform version of summary for all users. However summaries which are generic in nature do not cater to the userpsilas...
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