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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...
At present, the scale and diversity of Web information are immense. Acquiring Web information simply relies on search engine which is increasingly unable to meet user needs, thus Web information extraction (WebIE) technology attracts widely attentions. In this paper, a framework of distributed multi-slot WebIE system based on agent is proposed. It includes user agent, mediator agent, wrapper agent,...
Many users often perform searches in unfamiliar domains and these search experiences are often unsatisfactory since the users are lack of domain-specific knowledge. In this paper, we present a concept based retrieval method to deal with domain-specific searches. Three groups of domain-specific concepts are extracted from the online resource. The following experiments on three domain-specific test...
In our living environments today, computer networks, computing devices, sensors and many other entities produce a large amount of data to be processed. This data comprise, for example, digital media content, news, computational resources like services, and much more. To be able to exploit this data, a (human or computer) user may utilize digital assistants. In this paper, we present such an assistant...
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...
Real-world applications have to take into consideration both topics and sentiments for precise opinion measurement. Topic and sentiment alignment is crucial for opinion retrieval, extraction, categorization, and aggregation on various issues. In this paper, we have reported a Monolingual Event (or, topic) tracking system for Bengali. The system has been developed based on a newspaper corpus developed...
In this paper, we proposed a method of retrieving documents from the world wide Web using a spoken document as a ldquokey.rdquo This method can be viewed as a speech version of an ordinary relevant document retrieval, where a text document is used as a query of retrieval. Basically the retrieval is based on an automatic transcription of a spoken document using a speech recognizer. The difficult point...
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...
The advent of pervasive computing puts forward a new challenge for individual information research. With the explosion of information on the Internet, finding information relevant to a user's interest can be a time-consuming and tedious task. User interest learning plays an important role in information personalization. In this paper, a learning approach to acquire and update user interest is proposed...
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