Abstract
The usage of Web video search engines has been growing at an explosive rate. Due to the ambiguity of query terms and duplicate results, a good clustering of video search results is essential to enhance user experience as well as improve retrieval performance. Existing systems that cluster videos only consider the video content itself. This paper presents the first system that clusters Web video search results by fusing the evidence from a variety of information sources besides the video content such as title, tags and description. We propose a novel framework that can integrate multiple features and enable us to adopt existing clustering algorithms. We discuss our careful design of different components of the system and a number of implementation decisions to achieve high effectiveness and efficiency. a thorough user study shows that with an innovative interface showing the clustering output, our system delivers a much better presentation of search results and hence increases the usability of video search engines significantly. © 2010 Springer Science Business Media, LLC.
Recommended Citation
A. Hindle et al., "Clustering Web Video Search Results based on Integration of Multiple Features," World Wide Web, vol. 14, no. 1, pp. 53 - 73, Springer, Jan 2011.
The definitive version is available at https://doi.org/10.1007/s11280-010-0097-x
Department(s)
Computer Science
Keywords and Phrases
search results clustering; user interface; Web video; YouTube
International Standard Serial Number (ISSN)
1386-145X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Springer, All rights reserved.
Publication Date
01 Jan 2011
