| 英文摘要 | With the rapid development of Web2.0 techniques, the websites with the core of user interactive actions have recently become a novel platform for sharing information. Users perform interactive actions with the web objects (e.g., sharing objects, collecting objects as favorites, tagging, and casting mood votes, etc.), and other users (e.g., contacting others as friends). These actions enrich the web content, but simultaneously make the users face the problem of information overload. Therefore, in these user interactive websites, such as Sina News and Flickr, fully employing the new characters brought by the user interactive actions and investigating the key methods based on these characters will provide users with novel information retrieval and browsing mechanisms. With these novel alternative mechanisms, users could get access to the desired information (e.g., news, groups and photos, etc.) more quickly and efficiently. The action of tagging photos in groups enriches the semantic information of groups. Mining the hidden hierarchical topic structure underlying the semantic information, and organizing the groups into a hierarchy will guide the users browsing groups from broader topics to more specific topics, and finally achieve the desired group. The action of casting mood votes further enriches the sentiment information of news. This sentiment information reflects the readers' mood influenced by the news content. Incorporating the mood, content and time factors into a unified news retrieval framework would satisfy users' diverse retrieval requirement. The interactive actions among users reflect their similar interest. Mining the interest relationship between user and his/her friends would assist predicting the user's preference from his/her friends' preference, which would satisfy users' increasing personalized need. Comprehensive utilization of multiple interactive actions to detect and predict prestigious users would assist people choosing high quality information, which could improve users' browsing experience. Current studies on information retrieval and browsing mainly utilize the content of objects or users' click-through data. Utilizing the data from user interactive actions and incorporating multiple factors have received less attention. Therefore, based on web data mining techniques, this thesis uses the Sina News and Flickr as the research background, and main research focuses are summarized as follows. 1. We propose a novel approach on hie... |
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