Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
ACM SIGIR Forum
Identifying similarities, periodicities and bursts for online search queries
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Web search intent induction via automatic query reformulation
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Recommending questions using the mdl-based tree cut model
Proceedings of the 17th international conference on World Wide Web
Discovering co-located queries in geographic search logs
Proceedings of the first international workshop on Location and the web
Optimizing query rewrites for keyword-based advertising
Proceedings of the 9th ACM conference on Electronic commerce
A survey of query log privacy-enhancing techniques from a policy perspective
ACM Transactions on the Web (TWEB)
Explorations in tag suggestion and query expansion
Proceedings of the 2008 ACM workshop on Search in social media
Search shortcuts using click-through data
Proceedings of the 2009 workshop on Web Search Click Data
CLHQS: Hierarchical Query Suggestion by Mining Clickthrough Log
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Gazpacho and summer rash: lexical relationships from temporal patterns of web search queries
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Ranking entities using web search query logs
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Query suggestions in the absence of query logs
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Identifying aspects for web-search queries
Journal of Artificial Intelligence Research
Learning from users' querying experience on intranets
Proceedings of the 21st international conference companion on World Wide Web
Query recommendation by modelling the query-flow graph
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Enriching query flow graphs with click information
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Adaptation of the concept hierarchy model with search logs for query recommendation on intranets
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the sixth ACM international conference on Web search and data mining
Efficient fuzzy search in large text collections
ACM Transactions on Information Systems (TOIS)
Query suggestions for textual problem solution repositories
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Task-aware query recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Learning to rank query suggestions for adhoc and diversity search
Information Retrieval
Personalized Query Expansion for Web Search Using Social Keywords
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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This poster investigates a novel query suggestion technique that selects query refinements through a combination of many users' post-query navigation patterns and the query logs of a large search engine. We compare this technique, which uses the queries that retrieve in the top-ranked search results places where searchers end up after post-query browsing (i.e., the landing pages), with an approach based on query refinements from user search sessions extracted from query logs. Our findings demonstrate the effectiveness of using landing pages for the direct generation of query suggestions, as well as the complementary nature of the suggestions it generates with regard to traditional query log based refinement methodologies.