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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Takeuchi, S. Kondoh, T. Akiyoshi, M. Komoda, N. |
| Copyright Year | 2008 |
| Description | Author affiliation: Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita (Takeuchi, S.; Kondoh, T.; Akiyoshi, M.; Komoda, N.) |
| Abstract | Information on the Internet has been increased extremely because of CGM (consumer generated media). However, such information sent by ordinary users is not managed systematically, so utilizing it is difficult especially for the beginners. To solve this issue, by identifying relationships between different information, a system should present related information for the users simultaneously. Although the existing methods such as natural language processing can evaluate the similarities of different texts, latest information or other multimedia contents, e.g., pictures, movies, etc, are difficult to evaluate. Therefore, similarities of propagation forms on a social network are proposed to utilize for extracting relationships of information. A preliminary experiment was carried out for evaluating relationships of similarity and complement can be obtained by the similarities of propagation forms of information. As a result, the messages that have many duplicate links tend to be similar, and the rate of coincidence of the directions is expected to extract complementary relationships of information. |
| Starting Page | 341 |
| Ending Page | 344 |
| File Size | 376777 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769532974 |
| DOI | 10.1109/SAINT.2008.31 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-28 |
| Publisher Place | Finland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Internet Relationship of Information CGM Information Propagation Model Propagation Form |
| Content Type | Text |
| Resource Type | Article |
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