How to recognize interesting topics to provide cooperative answering
Information Systems
Preference structures and their numerical representations
Theoretical Computer Science
A framework for expressing and combining preferences
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
From adaptive hypertext to personalized web companions
Communications of the ACM - The Adaptive Web
Communications of the ACM
Top-k selection queries over relational databases: Mapping strategies and performance evaluation
ACM Transactions on Database Systems (TODS)
Personalized web search by mapping user queries to categories
Proceedings of the eleventh international conference on Information and knowledge management
Proceedings of the 17th International Conference on Data Engineering
Yoda: An Accurate and Scalable Web-Based Recommendation System
CooplS '01 Proceedings of the 9th International Conference on Cooperative Information Systems
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Personalization of Queries in Database Systems
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Preference SQL: design, implementation, experiences
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Preferential semantics for goals
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
A multi-agent system for efficiently managing query answering in an e-government scenario
Proceedings of the 2006 ACM symposium on Applied computing
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Fast contextual preference scoring of database tuples
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Prioritized Evaluation of Continuous Moving Queries over Streaming Locations
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
A strategy to develop adaptive and interactive query brokers
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
Contextual Ranking of Database Querying Results: A Statistical Approach
EuroSSC '08 Proceedings of the 3rd European Conference on Smart Sensing and Context
The Right Expert at the Right Time and Place
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Query Recommendations for Interactive Database Exploration
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Toward context and preference-aware location-based services
Proceedings of the Eighth ACM International Workshop on Data Engineering for Wireless and Mobile Access
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Preference-aware publish/subscribe delivery with diversity
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Location-aware privacy and more: a systems approach using context-aware database management systems
Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS
Evaluation and optimization of the catalog search process of e-procurement platforms
Electronic Commerce Research and Applications
Personalizing queries based on networks of composite preferences
ACM Transactions on Database Systems (TODS)
PerK: personalized keyword search in relational databases through preferences
Proceedings of the 13th International Conference on Extending Database Technology
Schema and data translation: a personal perspective
ADBIS'07 Proceedings of the 11th East European conference on Advances in databases and information systems
ACM SIGMOD Record
A framework for OLAP content personalization
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Proceedings of the VLDB Endowment
A survey on representation, composition and application of preferences in database systems
ACM Transactions on Database Systems (TODS)
Ontology-driven personalized query refinement
Journal of Web Engineering
Using intelligent agents in e-government for supporting decision making about service proposals
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
An HL7-Aware multi-agent system for efficiently handling query answering in an e-health context
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
A context-aware preference model for database querying in an ambient intelligent environment
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Flexible and extensible preference evaluation in database systems
ACM Transactions on Database Systems (TODS)
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Query Personalization is the process of dynamically enhancing a query with related user preferences stored in a user profile with the aim of providing personalized answers. The underlying idea is that different users may find different things relevant to a search due to different preferences. Essential ingredients of query personalization are: (a) a model for representing and storing preferences in user profiles, and (b) algorithms for the generation of personalized answers using stored preferences. Modeling the plethora of preference types is a challenge. In this paper, we present a preference model that combines expressivity and concision. In addition, we provide efficient algorithms for the selection of preferences related to a query, and an algorithm for the progressive generation of personalized results, which are ranked based on user interest. Several classes of ranking functions are provided for this purpose. We present results of experiments both synthetic and with real users (a) demonstrating the efficiency of our algorithms, (b) showing the benefits of query personalization, and (c) providing insight as to the appropriateness of the proposed ranking functions.