Efficient management of transitive relationships in large data and knowledge bases
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Information storage and retrieval
Information storage and retrieval
A framework for expressing and combining preferences
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Topological sorting of large networks
Communications of the ACM
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Automatic categorization of query results
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Improving document representations using relevance feedback: the RFA algorithm
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Mediators over taxonomy-based information sources
The VLDB Journal — The International Journal on Very Large Data Bases
Personalized Queries under a Generalized Preference Model
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Progressive skyline computation in database systems
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
FaThumb: a facet-based interface for mobile search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning user preferences for sets of objects
ICML '06 Proceedings of the 23rd international conference on Machine learning
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
Addressing uncertainty in implicit preferences
Proceedings of the 2007 ACM conference on Recommender systems
Multi-objective query processing for database systems
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Personalized interactive faceted search
Proceedings of the 17th international conference on World Wide Web
Minimum-effort driven dynamic faceted search in structured databases
Proceedings of the 17th ACM conference on Information and knowledge management
Efficient Rewriting Algorithms for Preference Queries
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Journal of Artificial Intelligence Research
Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience
Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience
STC+ and NM-STC: Two Novel Online Results Clustering Methods for Web Searching
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
PerK: personalized keyword search in relational databases through preferences
Proceedings of the 13th International Conference on Extending Database Technology
MuseumFinland-Finnish museums on the semantic web
Web Semantics: Science, Services and Agents on the World Wide Web
Improving semantic search via integrated personalized faceted and visual graph navigation
SOFSEM'08 Proceedings of the 34th conference on Current trends in theory and practice of computer science
Exploratory web searching with dynamic taxonomies and results clustering
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
Interactive exploration of fuzzy RDF knowledge bases
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Personalizing queries over large data tables
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
/facet: a browser for heterogeneous semantic web repositories
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Extending faceted navigation for RDF data
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Ontogator — a semantic view-based search engine service for web applications
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
On exploiting static and dynamically mined metadata for exploratory web searching
Knowledge and Information Systems
Analysis and validation of information access through mono, multidimensional and dynamic taxonomies
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Personalized faceted browsing for digital libraries
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
An interactive exploratory system with real-time preference elicitation
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Hi-index | 0.00 |
Current proposals for preference-based information access seem to ignore that users should be acquainted with the information space and the available choices for describing effectively their preferences. Furthermore users rarely formulate complex preference or plain queries. The interaction paradigm of Faceted Dynamic Taxonomies FDT allows users to explore an information space and to restrict their focus without having to formulate queries. Instead the users can restrict their focus object set, or set of choices in general gradually through a simple set of actions, each corresponding to a more refined query formulated on-the-fly which can be enacted by a simple click. In this paper we extend this interaction paradigm with actions that allow users to dynamically express their preferences. The proposed model supports progressive preference elicitation, inherited preferences and scope-based resolution of conflicts over single or multi-valued attributes with hierarchically organized values. Finally we elaborate on the algorithmic perspective and the applicability of the model over large information bases.