Clustering-Based Searching and Navigation in an Online News Source

Smith, Simón C.; Rodríguez, M. Andrea

Abstract

The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm for topic detection that considers the temporal evolution of news and the structure of web documents. Then, it uses the results of the topic detection algorithm for searching and navigating in an online news source. An experimental evaluation with a collection of online news in Spanish indicates the advantages of incorporating the temporal aspect and structure of documents in the topic detection of news. In addition, topic-based clusters are well suited for guiding the search and navigation of news.

Citation

Smith, S. C., & Rodríguez, M. A. (2006, April). Clustering-Based Searching and Navigation in an Online News Source. Presented at 28th European Conference on IR Research, ECIR 2006, London, UK

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 28th European Conference on IR Research, ECIR 2006
• Start Date: Apr 10, 2006
• End Date: Apr 12, 2006
• Online Publication Date: Mar 28, 2006
• Publication Date: 2006
• Deposit Date: Jul 11, 2023
• Publisher: Springer
• Pages: 143-154
• Series Title: Lecture Notes in Computer Science
• Series Number: 3936
• Series ISSN: 0302-9743
• Book Title: Advances in Information Retrieval. ECIR 2006
• ISBN: 978-3-540-33347-0
• DOI: https://doi.org/10.1007/11735106_14
• Public URL: http://researchrepository.napier.ac.uk/Output/3136198