Relating RSS News/Items
Merging related RSS news (coming from one or different sources) is beneficial for end-users with different backgrounds (journalists, economists, etc.), particularly those accessing similar information. In this paper, we provide a practical approach to both: measure the relatedness, and identify rela...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , , |
| Format: | conferenceObject |
| Published: |
2009
|
| Online Access: | http://hdl.handle.net/10725/5862 https://doi.org/10.1007/978-3-642-02818-2_36 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-642-02818-2_36 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Merging related RSS news (coming from one or different sources) is beneficial for end-users with different backgrounds (journalists, economists, etc.), particularly those accessing similar information. In this paper, we provide a practical approach to both: measure the relatedness, and identify relationships between RSS elements. Our approach is based on the concepts of semantic neighborhood and vector space model, and considers the content and structure of RSS news items. |
|---|