The analysis of query logs from blog search engines show that news-related queries occupy a significant portion of the logs. This raises a interesting research question on whether the blogosphere can be used to identify important news stories. In this paper, we present novel approaches to identify i
โฆ LIBER โฆ
[ACM Press Proceeding of the 33rd international ACM SIGIR conference - Geneva, Switzerland (2010.07.19-2010.07.23)] Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10 - Mining the blogosphere for top news stories identification
โ Scribed by Lee, Yeha; Jung, Hun-young; Song, Woosang; Lee, Jong-Hyeok
- Book ID
- 115534473
- Publisher
- ACM Press
- Year
- 2010
- Weight
- 395 KB
- Volume
- 0
- Category
- Article
- ISBN
- 1450301533
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