SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Rank aggregation methods for the Web
Proceedings of the 10th international conference on World Wide Web
Optimal aggregation algorithms for middleware
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Locally adaptive dimensionality reduction for indexing large time series databases
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
PREFER: a system for the efficient execution of multi-parametric ranked queries
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Polaris: A System for Query, Analysis, and Visualization of Multidimensional Relational Databases
IEEE Transactions on Visualization and Computer Graphics
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Tioga-2: A Direct Manipulation Database Visualization Environment
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
An introduction to variable and feature selection
The Journal of Machine Learning Research
Automatic categorization of query results
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Mining approximate functional dependencies and concept similarities to answer imprecise queries
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
Comparing and aggregating rankings with ties
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Addressing diverse user preferences in SQL-query-result navigation
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
CallAssist: helping call center agents in preference elicitation
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Query biased snippet generation in XML search
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Helping satisfy multiple objectives during a service desk conversation
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Improving the accuracy of entity identification through refinement
Ph.D. '08 Proceedings of the 2008 EDBT Ph.D. workshop
Minimum-effort driven dynamic faceted search in structured databases
Proceedings of the 17th ACM conference on Information and knowledge management
A Context-Sensitive Approach for Web Database Query Results Ranking
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A methodology for preference-based personalization of contextual data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Data clouds: summarizing keyword search results over structured data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Answering approximate queries over autonomous web databases
Proceedings of the 18th international conference on World wide web
Promotion analysis in multi-dimensional space
Proceedings of the VLDB Endowment
Structured search result differentiation
Proceedings of the VLDB Endowment
Improving XML search by generating and utilizing informative result snippets
ACM Transactions on Database Systems (TODS)
Retrieving samples from biobanks
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
Ranking objects based on attribute value correlation
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
A novel keyword search paradigm in relational databases: Object summaries
Data & Knowledge Engineering
Making interval-based clustering rank-aware
Proceedings of the 14th International Conference on Extending Database Technology
Facet discovery for structured web search: a query-log mining approach
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
MOBIES: mobile-interface enhancement service for hidden web database
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
A survey on representation, composition and application of preferences in database systems
ACM Transactions on Database Systems (TODS)
Scrubbing query results from probabilistic databases
Proceedings of the 15th Symposium on International Database Engineering & Applications
Generating exact- and ranked partially-matched answers to questions in advertisements
Proceedings of the VLDB Endowment
Differentiating search results on structured data
ACM Transactions on Database Systems (TODS)
Comprehension-based result snippets
Proceedings of the 21st ACM international conference on Information and knowledge management
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There has been a great deal of interest in the past few years on ranking of results of queries on structured databases, including work on probabilistic information retrieval, rank aggregation, and algorithms for merging of ordered lists. In many applications, for example sales of homes, used cars or electronic goods, data items have a very large number of attributes. When displaying a (ranked) list of items to users, only a few attributes can be shown. Traditionally, these are selected manually. We argue that automatic selection of attributes is required to deal with different requirements of different users. We formulate the problem as an optimization problem of choosing the most "useful" set of attributes, that is, the attributes that are most influential in the ranking of the items. We discuss different variants of our notion of attribute usefulness, and propose a hybrid Split-Pane approach that returns a composite of the top attributes of each variant. We conduct both a performance and a user study illustrating the benefits of our algorithms in terms of efficiency and quality of explanation.