Using Blog Content Depth and Breadth to Access and Classify Blogs

Meichieh Chen ； Toshizumi Ohta

《International Journal of Business and Information》 5卷1期 (2010/06) Pp. 26-45

https://doi.org/10.6702/ijbi.2010.5.1.2

並列摘要

Blogs are attractive to readers and researchers because of their ability to express a variety of opinions and critiques on topics. In particular, the fast growth of such online context brings in a strong demand for developing blog-specific filtering systems in order to identify and monitor the knowledge flow in the blogosphere. Traditional measures, which simply adopt link-analysis algorithms, are inadequate when it comes to blogs because of their sparseness of links. In this paper, we propose a filtering system that is able to assess the associated content of blog entries by measuring topic concentration and topic variety in terms of content depth and breadth with the scalars of informativeness, completeness, topic count, inter-topic distance, and topic mergence. These employed measures have proved to be appropriate for helping users to judge blogs they prefer among search results. Our system is different from existing blog search engines, as it aims to provide better relevance and precision of the search.

並列關鍵字

Blog ； Wikipedia ； semantic analysis ； topic based model

參考文獻

Adomavicius, G.,Tuzhilin, A.(2005).Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions.IEEE Transactions on Knowledge and Data Engineering.17(6),734-749.

Avesani, P.,Cova, M.,Hayes, C.,Massa, P.(2005).Learning contextualised weblog topics.Proc. WWW'05 Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics.(Proc. WWW'05 Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics).

Balabanovi, M.,Shoham, Y.(1997).Fab: content-based, collaborative recommendation.Commun. ACM.40(3),66-72.

Bizer, C.,Cyganiak, R.(2009).Quality-driven information filtering using the WIQA policy framework.Web Semantics: Science, Service and Agents WWW'07.(Web Semantics: Science, Service and Agents WWW'07).

Brin, S.,Page, L.,Motwami, R.,Winograd, T.(1999).The PageRank citation ranking: Bringing order to the Web.Stanford University Technical Report.(Stanford University Technical Report).,未出版Stanford University.