A general language model for information retrieval (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
The Importance of Prior Probabilities for Entry Page Search
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A framework to predict the quality of answers with non-textual features
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Ranking robustness: a novel framework to predict query performance
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Linear feature-based models for information retrieval
Information Retrieval
On improving wikipedia search using article quality
Proceedings of the 9th annual ACM international workshop on Web information and data management
Measuring ranked list robustness for query performance prediction
Knowledge and Information Systems
A Unified Framework for Opinion Retrieval
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Statistical Language Models for Information Retrieval A Critical Review
Foundations and Trends in Information Retrieval
User Reputation Evaluation Using Co-occurrence Feature and Collective Intelligence
OCSC '09 Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009
Question utility: a novel static ranking of question search
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Easiest-first search: towards comprehension-based web search
Proceedings of the 18th ACM conference on Information and knowledge management
Quality-biased ranking of web documents
Proceedings of the fourth ACM international conference on Web search and data mining
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Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Adaptive ranking of search results by considering user's comprehension
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
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Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality
Predicting quality flaws in user-generated content: the case of wikipedia
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Quality models for microblog retrieval
Proceedings of the 21st ACM international conference on Information and knowledge management
Assessing the quality of textual features in social media
Information Processing and Management: an International Journal
Using document-quality measures to predict web-search effectiveness
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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The quality of document content, which is an issue that is usually ignored for the traditional ad hoc retrieval task, is a critical issue for Web search. Web pages have a huge variation in quality relative to, for example, newswire articles. To address this problem, we propose a document quality language model approach that is incorporated into the basic query likelihood retrieval model in the form of a prior probability. Our results demonstrate that, on average, the new model is significantly better than the baseline (query likelihood model) in terms of precision at the top ranks.