The paraphrase search assistant: terminological feedback for iterative information seeking
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Creating and evaluating multi-document sentence extract summaries
Proceedings of the ninth international conference on Information and knowledge management
Seeing the whole in parts: text summarization for web browsing on handheld devices
Proceedings of the 10th international conference on World Wide Web
Generic text summarization using relevance measure and latent semantic analysis
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Using terminological feedback for web search refinement: a log-based study
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Generating natural language summaries from multiple on-line sources
Computational Linguistics - Special issue on natural language generation
Web-page classification through summarization
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Headline generation based on statistical translation
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Web-page summarization using clickthrough data
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Hedge Trimmer: a parse-and-trim approach to headline generation
HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
Latent semantic analysis for multiple-type interrelated data objects
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Quicklink selection for navigational query results
Proceedings of the 18th international conference on World wide web
Learning document aboutness from implicit user feedback and document structure
Proceedings of the 18th ACM conference on Information and knowledge management
Pseudo test collections for learning web search ranking functions
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A section title authoring tool for clinical guidelines
Proceedings of the 2012 ACM symposium on Document engineering
How can catchy titles be generated without loss of informativeness?
Expert Systems with Applications: An International Journal
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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.