DBXplorer: A System for Keyword-Based Search over Relational Databases
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Automatic construction of multifaceted browsing interfaces
Proceedings of the 14th ACM international conference on Information and knowledge management
Ordering the attributes of query results
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Probabilistic information retrieval approach for ranking of database query results
ACM Transactions on Database Systems (TODS)
Distributed search over the hidden web: hierarchical database sampling and selection
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
BANKS: browsing and keyword searching in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient IR-style keyword search over relational databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Personalized interactive faceted search
Proceedings of the 17th international conference on World Wide Web
Learning query intent from regularized click graphs
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Minimum-effort driven dynamic faceted search in structured databases
Proceedings of the 17th ACM conference on Information and knowledge management
Standing Out in a Crowd: Selecting Attributes for Maximum Visibility
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Automatic Extraction of Useful Facet Hierarchies from Text Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Answering web queries using structured data sources
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Extracting structured information from user queries with semi-supervised conditional random fields
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Search User Interfaces
Facetedpedia: dynamic generation of query-dependent faceted interfaces for wikipedia
Proceedings of the 19th international conference on World wide web
Proceedings of the 19th international conference on World wide web
Understanding queries in a search database system
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Structured annotations of web queries
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
FACeTOR: cost-driven exploration of faceted query results
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Extending faceted navigation for RDF data
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Effectively interpreting keyword queries on RDF databases with a rear view
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
The list Viterbi training algorithm and its application to keyword search over databases
Proceedings of the 20th ACM international conference on Information and knowledge management
A framework of faceted navigation for XML data
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
On-the-Fly generation of facets as navigation signs for web objects
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Serial position effects of clicking behavior on result pages returned by search engines
Proceedings of the 21st ACM international conference on Information and knowledge management
Journal of Web Engineering
Learning joint query interpretation and response ranking
Proceedings of the 22nd international conference on World Wide Web
A probabilistic mixture model for mining and analyzing product search log
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Automated faceted reporting for web analytics
Proceedings of the 4th international workshop on Web-scale knowledge representation retrieval and reasoning
Entwining structure into web search
Proceedings of the 7th International Workshop on Ranking in Databases
Crowdsourcing-assisted query structure interpretation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Supporting keyword search in product database: a probabilistic approach
Proceedings of the VLDB Endowment
Entity ranking using click-log information
Intelligent Data Analysis
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In recent years, there has been a strong trend of incorporating results from structured data sources into keyword-based web search systems such as Bing or Amazon. When presenting structured data, facets are a powerful tool for navigating, refining, and grouping the results. For a given structured data source, a fundamental problem in supporting faceted search is finding an ordered selection of attributes and values that will populate the facets. This creates two sets of challenges. First, because of the limited screen real-estate, it is important that the top facets best match the anticipated user intent. Second, the huge scale of available data to such engines demands an automated unsupervised solution. In this paper, we model the user faceted-search behavior using the intersection of web query-logs with existing structured data. Since web queries are formulated as free-text queries, a challenge in our approach is the inherent ambiguity in mapping keywords to the different possible attributes of a given entity type. We present an automated solution that elicits user preferences on attributes and values, employing different disambiguation techniques ranging from simple keyword matching, to more sophisticated probabilistic models. We demonstrate experimentally the scalability of our solution by running it on over a thousand categories of diverse entity types and measure the facet quality with a real-user study.