Less-conscious Information Retrieval Techniques using User's Implicit Intentions

(A)基于用户交互的隐含意图提取(a-1)使用媒体操作提取用户意图：我们提出了一种利用与信息检索无关的媒体交互提取用户意图的检索方法。(a-2)根据用户的浏览行为建模和估计浏览模式：我们定义了两种浏览模式，一种浏览模式和一种漫步模式，考虑了用户意图的强度。然后，分别从网页的内容和URL域两个方面定义了两个集中度。我们提出了一种利用集中度来估计用户浏览模式的方法。(B)使用自动查询生成(b-1)查询生成的较不敏感的跨媒体内容检索方法：我们开发了元模型，用于将(a-1)提取的用户意图传播到其他媒体内容的观看、收听、编辑和检索操作。(B-2)基于用户浏览模式的用户辅助方法：我们开发了一种使用社交标签的推荐技术，用于在(a-2)中定义的漫步模式中帮助用户。为了找到要推荐的页面，我们首先从附加到浏览页面的标签中找到父子关系中的标签组合。然后对这些标签组合中的一部分进行替换，利用替换后的标签组合找到与浏览页面相似、概括或相关的页面。

We developed information retrieval techniques on less-conscious level that is between conscious and unconscious as follows.(a) Extracting implicit intentions based on user's interactions(a-1) Extracting user's intentions using media operations: we developed a retrieval method using user's intention that is extracted by media interactions which does not conscious to information retrieval.(a-2) Modeling and estimating browsing mode from user's browsing behavior: we defined two browsing mode, an exploring mode and a strolling mode in consideration of intensity of user's purpose. Then, we respectively defined two concentration degrees form the aspects of contents and URL domains of browsed pages. We developed a method to estimate user's browsing mode by using the concentration degrees.(b) A less-conscious information retrieval method using automatic query generation(b-1) Query generation for retrieving cross media contents: we developed meta-model for spreading user's intentions that is extracted by (a-1) to other media contents' operations as viewing, listening, editing and retrieving. Then, we developed the prototype system and evaluated our method.(b-2) User assistance method based on user's browsing mode : We developed recommendation technique using social tags for assisting users in a stroll mode defined in (a-2). To find pages to be recommended, we first find combinations of tags, which are in parent-child relationships, from the tags attached to a browsing page. Then we replace a part of these combinations of tags and we find the pages which are similar, generalized or related with the browsing page by using the replaced combination of tags.