Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Identifying similarities, periodicities and bursts for online search queries
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
A formal study of information retrieval heuristics
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th international conference on World Wide Web
Concept-based interactive query expansion
Proceedings of the 14th ACM international conference on Information and knowledge management
A web-based kernel function for measuring the similarity of short text snippets
Proceedings of the 15th international conference on World Wide Web
Mining related queries from search engine query logs
Proceedings of the 15th international conference on World Wide Web
Measuring semantic similarity between words using web search engines
Proceedings of the 16th international conference on World Wide Web
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
N semantic classes are harder than two
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Similarity measures for short segments of text
ECIR'07 Proceedings of the 29th European conference on IR research
Proceedings of the 18th international conference on World wide web
Query recommendations for OLAP discovery driven analysis
Proceedings of the ACM twelfth international workshop on Data warehousing and OLAP
Presenting query aspects to support exploratory search
AUIC '10 Proceedings of the Eleventh Australasian Conference on User Interface - Volume 106
Query suggestion for E-commerce sites
Proceedings of the fourth ACM international conference on Web search and data mining
User behavior in zero-recall ecommerce queries
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Recommender systems at the long tail
Proceedings of the fifth ACM conference on Recommender systems
Beyond relevance in marketplace search
Proceedings of the 20th ACM international conference on Information and knowledge management
Marco Polo: a system for brand-based shopping and exploration
Proceedings of the 20th ACM international conference on Information and knowledge management
Rewriting null e-commerce queries to recommend products
Proceedings of the 21st international conference companion on World Wide Web
Query Recommendations for OLAP Discovery-Driven Analysis
International Journal of Data Warehousing and Mining
On segmentation of eCommerce queries
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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In this paper we describe how high quality transaction data comprising of online searching, product viewing, and product buying activity of a large online community can be used to infer semantic relationships between queries. We work with a large scale query log consisting of around 115 million queries from eBay. We discuss various techniques to infer semantic relationships among queries and show how the results from these methods can be combined to measure the strength and depict the kinds of relationships. Further, we show how this extraction of relations can be used to improve search relevance, related query recommendations, and recovery from null results in an eCommerce context.