Improving retrieval performance by relevance feedback
Readings in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Document language models, query models, and risk minimization for information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Sentiment analysis: capturing favorability using natural language processing
Proceedings of the 2nd international conference on Knowledge capture
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
A formal study of information retrieval heuristics
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Unsupervised query segmentation using generative language models and wikipedia
Proceedings of the 17th international conference on World Wide Web
Personalized interactive faceted search
Proceedings of the 17th international conference on World Wide Web
Statistical Language Models for Information Retrieval
Statistical Language Models for Information Retrieval
An effective statistical approach to blog post opinion retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
A language modeling framework for expert finding
Information Processing and Management: an International Journal
Rated aspect summarization of short comments
Proceedings of the 18th international conference on World wide web
The Probabilistic Relevance Framework: BM25 and Beyond
Foundations and Trends in Information Retrieval
Probabilistic models for expert finding
ECIR'07 Proceedings of the 29th European conference on IR research
Clustering query refinements by user intent
Proceedings of the 19th international conference on World wide web
Latent aspect rating analysis on review text data: a rating regression approach
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Faceted Search
The ContactFinder agent: answering bulletin board questions with referrals
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
FindiLike: preference driven entity search
Proceedings of the 21st international conference companion on World Wide Web
CONSENTO: a consensus search engine for answering subjective queries
Proceedings of the 21st international conference companion on World Wide Web
An exploration of ranking heuristics in mobile local search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Discovering K web user groups with specific aspect interests
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
CONSENTO: a new framework for opinion based entity search and summarization
Proceedings of the 21st ACM international conference on Information and knowledge management
Proceedings of the 2013 workshop on Living labs for information retrieval evaluation
Interactive web caching for slow or intermittent networks
Proceedings of the 4th Annual Symposium on Computing for Development
Supporting keyword search in product database: a probabilistic approach
Proceedings of the VLDB Endowment
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The deployment of Web 2.0 technologies has led to rapid growth of various opinions and reviews on the web, such as reviews on products and opinions about people. Such content can be very useful to help people find interesting entities like products, businesses and people based on their individual preferences or tradeoffs. Most existing work on leveraging opinionated content has focused on integrating and summarizing opinions on entities to help users better digest all the opinions. In this paper, we propose a different way of leveraging opinionated content, by directly ranking entities based on a user's preferences. Our idea is to represent each entity with the text of all the reviews of that entity. Given a user's keyword query that expresses the desired features of an entity, we can then rank all the candidate entities based on how well opinions on these entities match the user's preferences. We study several methods for solving this problem, including both standard text retrieval models and some extensions of these models. Experiment results on ranking entities based on opinions in two different domains (hotels and cars) show that the proposed extensions are effective and lead to improvement of ranking accuracy over the standard text retrieval models for this task.