Fast and effective text mining using linear-time document clustering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Mining blog stories using community-based and temporal clustering
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Determining the user intent of web search engine queries
Proceedings of the 16th international conference on World Wide Web
Automatic Keyword Extraction Using Linguistic Features
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Keyword generation for search engine advertising using semantic similarity between terms
Proceedings of the ninth international conference on Electronic commerce
CDIP: Collection-Driven, yet Individuality-Preserving Automated Blog Tagging
ICSC '07 Proceedings of the International Conference on Semantic Computing
ICSC '07 Proceedings of the International Conference on Semantic Computing
Using the wisdom of the crowds for keyword generation
Proceedings of the 17th international conference on World Wide Web
Interlinking the Social Web with Semantics
IEEE Intelligent Systems
Machine learning techniques for business blog search and mining
Expert Systems with Applications: An International Journal
Retrieval and feedback models for blog feed search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Visualizing Blogsphere Using Content Based Clusters
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Blog Community Discovery Based on Tag Data Clustering
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 02
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
Crosslanguage blog mining and trend visualisation
Proceedings of the 18th international conference on World wide web
WisColl: Collective wisdom based blog clustering
Information Sciences: an International Journal
Clustering Blog Posts Using Tags and Relations in the Blogosphere
ICISE '09 Proceedings of the 2009 First IEEE International Conference on Information Science and Engineering
A weighted tag similarity measure based on a collaborative weight model
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
Preprocessing of Slovak Blog Articles for Clustering
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A tag-topic model for blog mining
Expert Systems with Applications: An International Journal
Formal concept analysis based clustering for blog network visualization
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
| Hi-index | 12.05 |
Readers are becoming accustomed to obtaining useful and reliable information from bloggers. To make access to the vastly increasing resource of blogs more effective, clustering is useful. Results of the literature review suggest that using linking information, keywords, or tags/categories to calculate similarity is critical for clustering. Keywords are commonly retrieved from the full text, which can be a time-consuming task if multiple articles must be processed. For tags/categories, there is also a problem of ambiguity; that is, different bloggers may define tags/categories of identical content differently. Keywords are important not only to reflect the theme of an article through blog readers' perspectives but also to accurately match users' intentions. In this paper, a tracing code is embedded in Blog Connect, a newly developed platform, to collect the keywords queried by readers and then select candidate keywords as co-keywords. The experiments show positive data to confirm that co-keywords can act as a quick path to an article. In addition, co-keyword generation can reduce the complexity and redundancy of full-text keyword retrieval procedures and satisfy blog readers' intentions.