| Generating succinct titles for web URLs |
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International Conference on Knowledge Discovery and Data Mining
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Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
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Las Vegas, Nevada, USA
SESSION: Research papers
table of contents
Pages 79-87
Year of Publication: 2008
ISBN:978-1-60558-193-4
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Downloads (6 Weeks): 12, Downloads (12 Months): 265, Citation Count: 1
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ABSTRACT
How can a search engine automatically provide the best and most appropriate title for a result URL (link-title) so that users will be persuaded to click on the URL? We consider the problem of automatically generating link-titles for URLs and propose a general statistical framework for solving this problem. The framework is based on using information from a diverse collection of sources, each of which can be thought of as contributing one or more candidate link-titles for the URL. It can also incorporate the context in which the link-title will be used, along with constraints on its length. Our framework is applicable to several scenarios: obtaining succinct titles for displaying quicklinks, obtaining titles for URLs that lack a good title, constructing succinct sitemaps, etc. Extensive experiments show that our method is very effective, producing results that are at least 20% better than non-trivial baselines.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Jade Goldstein , Vibhu Mittal , Jaime Carbonell , Jamie Callan, Creating and evaluating multi-document sentence extract summaries, Proceedings of the ninth international conference on Information and knowledge management, p.165-172, November 06-11, 2000, McLean, Virginia, United States
[doi> 10.1145/354756.354815]
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R. Jin. Statistical Approaches Toward Title Generation. PhD thesis, Carnegie Mellon University, 2003.
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Dou Shen , Zheng Chen , Qiang Yang , Hua-Jun Zeng , Benyu Zhang , Yuchang Lu , Wei-Ying Ma, Web-page classification through summarization, Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, July 25-29, 2004, Sheffield, United Kingdom
[doi> 10.1145/1008992.1009035]
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Jian-Tao Sun , Dou Shen , Hua-Jun Zeng , Qiang Yang , Yuchang Lu , Zheng Chen, Web-page summarization using clickthrough data, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, August 15-19, 2005, Salvador, Brazil
[doi> 10.1145/1076034.1076070]
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Xuanhui Wang , Jian-Tao Sun , Zheng Chen , ChengXiang Zhai, Latent semantic analysis for multiple-type interrelated data objects, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, August 06-11, 2006, Seattle, Washington, USA
[doi> 10.1145/1148170.1148214]
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