Name
Abstract | ||
|---|---|---|
SNSs and blogs, both of which are maintained by a community of people, have become popular in Web 2.0. We call these content as "Community-type content." This community is associated with the content, and those who use or contribute to community-type content are considered as members of the community. Occasionally, the members of a community do not understand the theme of the content from multiple viewpoints, hence, the amount of information is often insufficient. It is convenient to present the user missed information. In this way, when Web 2.0 became popular, the content on the Internet and type of users are changed. We believe that there is a need for next-generation search engines in Web 2.0. We require a search engine that can search for information users are unaware of; we call such information as "content holes." In this paper, we propose a method for searching content holes in community-type content. We attempt to extract and represent content holes from discussions on SNSs and blogs. Conventional Web search technique is generally based on similarities. On the other hand, our content-hole search is a different search. In this paper, we classify and represent a number of images for different searching methods; we define content holes and as the first step toward realizing our aim, we propose a content-hole search system using Wikipedia. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1806338.1806353 | iiWAS |
Keywords | Field | DocType |
community-type content,content-hole search system,content hole search,multiple viewpoint,content-hole search,conventional web search technique,content hole,search engine,next-generation search engine,different search,information user,community | Web search engine,Web search query,Article spinning,World Wide Web,Phrase search,Computer science,Content farm,Search analytics,Spamdexing,The Internet | Conference |
Citations | PageRank | References |
1 | 0.37 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akiyo Nadamoto | 1 | 189 | 34.24 |
| Eiji Aramaki | 2 | 371 | 45.89 |
| Takeshi Abekawa | 3 | 48 | 10.35 |
| Yohei Murakami | 4 | 284 | 42.25 |