Extracting Neglected Content from Community-type-content
Akiyo Nadamoto, Eiji Aramaki, Takeshi Abekawa, Yohei Murakami · Atlantis ambient and pervasive intelligence · 2010
In online community–type content such as that in social network services (SNSs) and blogs, users occasionally do not understand the theme of the content from multiple viewpoints, and hence, much of the information is often lost. Because the discussion in a community is concentrated on particular topics, the users’ viewpoint becomes narrow. We believe that it is necessary to provide the users of a community with information on the lack of awareness of a user. The information that a user is unaware of is called as a “content hole,” and the search for such holes is called a “content hole search.” In this paper, we define a type of content-hole search on the basis of viewpoints. Our proposed viewpoints are coverage, detail, semantics, and reputation. Furthermore, as a first step toward developing a search technique for content holes, on the basis of an “isolated degree” and a “non-related degree,” we attempt to extract neglected content from online community–type content and then represent this neglected content. This neglected content consists of information that is not of interest to anybody from within the community but may be of interest to many people outside the community.