Biterm language models for document retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Dependence language model for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Generating query substitutions
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
The Long Tail: Why the Future of Business Is Selling Less of More
The Long Tail: Why the Future of Business Is Selling Less of More
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Unsupervised query segmentation using generative language models and wikipedia
Proceedings of the 17th international conference on World Wide Web
Inferring semantic query relations from collective user behavior
Proceedings of the 17th ACM conference on Information and knowledge management
The effect of title term suggestion on e-commerce sites
Proceedings of the 10th ACM workshop on Web information and data management
Learning in a pairwise term-term proximity framework for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Reducing long queries using query quality predictors
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Two-stage query segmentation for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A Query Substitution-Search Result Refinement Approach for Long Query Web Searches
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Anatomy of the long tail: ordinary people with extraordinary tastes
Proceedings of the third ACM international conference on Web search and data mining
Exploring web scale language models for search query processing
Proceedings of the 19th international conference on World wide web
The power of naive query segmentation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Mining Historic Query Trails to Label Long and Rare Search Engine Queries
ACM Transactions on the Web (TWEB)
Query suggestion for E-commerce sites
Proceedings of the fourth ACM international conference on Web search and data mining
Unsupervised query segmentation using only query logs
Proceedings of the 20th international conference companion on World wide web
Proceedings of the 20th international conference on World wide web
User behavior in zero-recall ecommerce queries
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Unsupervised query segmentation using clickthrough for information retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Item categorization in the e-commerce domain
Proceedings of the 20th ACM international conference on Information and knowledge management
Efficient query rewrite for structured web queries
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
An IR-based evaluation framework for web search query segmentation
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Large-scale item categorization for e-commerce
Proceedings of the 21st ACM international conference on Information and knowledge management
Towards optimum query segmentation: in doubt without
Proceedings of the 21st ACM international conference on Information and knowledge management
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In this paper, we present QSEGMENT, a real-life query segmentation system for eCommerce queries. QSEGMENT uses frequency data from the query log which we call buyers' data and also frequency data from product titles what we call sellers' data. We exploit the taxonomical structure of the marketplace to build domain specific frequency models. Using such an approach, QSEGMENT performs better than previously described baselines for query segmentation. Also, we perform a large scale evaluation by using an unsupervised IR metric which we refer to as user-intent-score. We discuss the overall architecture of QSEGMENT as well as various use cases and interesting observations around segmenting eCommerce queries.