VAGUE: a user interface to relational databases that permits vague queries
ACM Transactions on Information Systems (TOIS)
CoBase: a scalable and extensible cooperative information system
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Multimedia document search on the Web
WWW7 Proceedings of the seventh international conference on World Wide Web 7
A framework for expressing and combining preferences
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Continuous querying in database-centric Web applications
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Modern Information Retrieval
Supporting Ranked Boolean Similarity Queries in MARS
IEEE Transactions on Knowledge and Data Engineering
Incorporating User Preferences in Multimedia Queries
ICDT '97 Proceedings of the 6th International Conference on Database Theory
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
FALCON: Feedback Adaptive Loop for Content-Based Retrieval
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
FeedbackBypass: A New Approach to Interactive Similarity Query Processing
Proceedings of the 27th International Conference on Very Large Data Bases
Similarity Search Using Multiple Examples in MARS
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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ACM Transactions on Database Systems (TODS)
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WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
A framework for refining similarity queries using learning techniques
Proceedings of the thirteenth ACM international conference on Information and knowledge management
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IEEE Transactions on Knowledge and Data Engineering
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ACM Transactions on Database Systems (TODS)
Query result ranking over e-commerce web databases
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Probabilistic ranking of database query results
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Answering approximate queries over autonomous web databases
Proceedings of the 18th international conference on World wide web
Relevance and ranking in online dating systems
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FACeTOR: cost-driven exploration of faceted query results
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Ranking objects based on attribute value correlation
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
Exploiting correlation to rank database query results
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
RAF: an activation framework for refining similarity queries using learning techniques
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Relevance feedback in XML retrieval
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
SODA: generating SQL for business users
Proceedings of the VLDB Endowment
Pragmatic correlation analysis for probabilistic ranking over relational data
Expert Systems with Applications: An International Journal
On modeling query refinement by capturing user intent through feedback
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
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With the emergence of applications that require content-based similarity retrieval, techniques to support such a retrieval paradigm over database systems have emerged as a critical area of research. User subjectivity is an important aspect of such queries, i.e., which objects are relevant to the user and which are not depends on the perception of the user. Query refinement is used to handle user subjectivity in similarity search systems. This paper explores how to enhance database systems with query refinement for content-based (similarity) searches in object-relational databases. Query refinement is achieved through relevance feedback where the user judges individual result tuples and the system adapts and restructures the query to better reflect the users information need. We present a query refinement framework and an array of strategies for refinement that address different aspects of the problem. Our experiments demonstrate the effectiveness of the query refinement techniques proposed in this paper.