Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Proceedings of the 11th international conference on World Wide Web
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Scaling personalized web search
WWW '03 Proceedings of the 12th international conference on World Wide Web
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Improving Automatic Query Classification via Semi-Supervised Learning
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 16th international conference on World Wide Web
Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Using the wisdom of the crowds for keyword generation
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
Context-aware query suggestion by mining click-through and session data
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
What you seek is what you get: extraction of class attributes from query logs
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
Query recommendation using query logs in search engines
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Applications of web query mining
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Research proposal for distributed deep web search
PIKM '10 Proceedings of the 3rd workshop on Ph.D. students in information and knowledge management
Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality
Proceedings of the fourth ACM international conference on Web search and data mining
Improving recommendation for long-tail queries via templates
Proceedings of the 20th international conference on World wide web
Unsupervised transactional query classification based on webpage form understanding
Proceedings of the 20th ACM international conference on Information and knowledge management
Sequence clustering and labeling for unsupervised query intent discovery
Proceedings of the fifth ACM international conference on Web search and data mining
Unsupervised extraction of template structure in web search queries
Proceedings of the 21st international conference on World Wide Web
Modeling transactional queries via templates
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Automatic suggestion of query-rewrite rules for enterprise search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
An analysis of free-text queries for a multi-field web form
Proceedings of the 4th Information Interaction in Context Symposium
Interpreting keyword queries over web knowledge bases
Proceedings of the 21st ACM international conference on Information and knowledge management
Gumshoe quality toolkit: administering programmable search
Proceedings of the 21st ACM international conference on Information and knowledge management
Proactive natural language search engine: tapping into structured data on the web
Proceedings of the 16th International Conference on Extending Database Technology
Learning joint query interpretation and response ranking
Proceedings of the 22nd international conference on World Wide Web
Efficient parsing-based search over structured data
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
The deep web: woven to catch the middle ground
Proceedings of the 4th international workshop on Web-scale knowledge representation retrieval and reasoning
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We propose to mine structured query templates from search logs, for enabling rich query interpretation that recognizes both query intents and associated attributes. We formalize the notion of template as a sequence of keywords and domain attributes, and our objective is to discover templates with high precision and recall for matching queries in a domain of interest. Our solution bootstraps from small seed input knowledge to discover relevant query templates, by harnessing the wealth of information available in search logs. We model this information in a tri-partite QueST network of queries, sites, and templates. We propose a probabilistic inferencing framework based on the dual metrics of precision and recall- and we show that the dual inferencing correspond respectively to the random walks in backward and forward directions. We deployed and tested our algorithm over a real-world search log of 15 million queries. The algorithm achieved accuracy of as high as 90% (on F-measure), with little seed knowledge and even with incomplete domain schema.