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Generating succinct titles for web URLs
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International Conference on Knowledge Discovery and Data Mining archive
Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining table of contents
Las Vegas, Nevada, USA
SESSION: Research papers table of contents
Pages 79-87  
Year of Publication: 2008
ISBN:978-1-60558-193-4
Authors
Deepayan Chakrabarti  Yahoo! Research, Sunnyvale, CA, USA
Ravi Kumar  Yahoo! Research, Sunnyvale, CA, USA
Kunal Punera  Yahoo! Research, Sunnyvale, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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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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R. Jin. Statistical Approaches Toward Title Generation. PhD thesis, Carnegie Mellon University, 2003.
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Collaborative Colleagues:
Deepayan Chakrabarti: colleagues
Ravi Kumar: colleagues
Kunal Punera: colleagues