A probabilistic relational model for the integration of IR and databases
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Providing database-like access to the Web using queries based on textual similarity
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Self-tuning histograms: building histograms without looking at data
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
A vector space model for automatic indexing
Communications of the ACM
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
A probabilistic model of information retrieval: development and comparative experiments Part 2
Information Processing and Management: an International Journal
STHoles: a multidimensional workload-aware histogram
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Experiences in mining aviation safety data
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Modern Information Retrieval
Accurate estimation of the number of tuples satisfying a condition
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
An Approach to Integrating Query Refinement in SQL
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
FALCON: Feedback Adaptive Loop for Content-Based Retrieval
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Efficient Query Refinement in Multimedia Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
DBXplorer: A System for Keyword-Based Search over Relational Databases
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Keyword Searching and Browsing in Databases using BANKS
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
The optimization of queries in relational databases
The optimization of queries in relational databases
Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Personalization of Queries in Database Systems
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Automatic categorization of query results
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Constrained optimalities in query personalization
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Answering Imprecise Queries over Autonomous Web Databases
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
The history of histograms (abridged)
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Objectrank: authority-based keyword search in databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Probabilistic ranking of database query results
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Online query relaxation via Bayesian causal structures discovery
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
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
Answering approximate queries over autonomous web databases
Proceedings of the 18th international conference on World wide web
Providing Relevant Answers for Queries over E-Commerce Web Databases
AMT '09 Proceedings of the 5th International Conference on Active Media Technology
Trimming plethoric answers to fuzzy queries: an approach based on predicate correlation
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Ranking objects based on attribute value correlation
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
On the use of fuzzy cardinalities for reducing plethoric answers to fuzzy queries
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Enhanced geographically typed semantic schema matching
Web Semantics: Science, Services and Agents on the World Wide Web
Relaxing queries based on XML structure and content preferences
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
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To deal with the problem of too many results returned from an E-commerce Web database in response to a user query, this paper proposes a novel approach to rank the query results. Based on the user query, we speculate how much the user cares about each attribute and assign a corresponding weight to it. Then, for each tuple in the query result, each attribute value is assigned a score according to its "desirableness" to the user. These attribute value scores are combined according to the attribute weights to get a final ranking score for each tuple. Tuples with the top ranking scores are presented to the user first. Our ranking method is domain independent and requires no user feedback. Experimental results demonstrate that this ranking method can effectively capture a user's preferences.