SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Query word deletion prediction
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Enriching the knowledge sources used in a maximum entropy part-of-speech tagger
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Robust classification of rare queries using web knowledge
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Simrank++: query rewriting through link analysis of the clickgraph (poster)
Proceedings of the 17th international conference on World Wide Web
Optimizing query rewrites for keyword-based advertising
Proceedings of the 9th ACM conference on Electronic commerce
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Relaxation in text search using taxonomies
Proceedings of the VLDB Endowment
Inferring semantic query relations from collective user behavior
Proceedings of the 17th ACM conference on Information and knowledge management
Analysis of long queries in a large scale search log
Proceedings of the 2009 workshop on Web Search Click Data
Proceedings of the 18th international conference on World wide web
Reducing long queries using query quality predictors
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Improving verbose queries using subset distribution
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Query suggestion for E-commerce sites
Proceedings of the fourth ACM international conference on Web search and data mining
TEMPER: a temporal relevance feedback method
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
User behavior in zero-recall ecommerce queries
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Estimation methods for ranking recent information
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Recommending ephemeral items at web scale
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Modeling subset distributions for verbose queries
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Tossing coins to trim long 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
Efficient query rewrite for structured web queries
Proceedings of the 20th ACM international conference on Information and knowledge management
Chelsea won, and you bought a t-shirt: characterizing the interplay between Twitter and e-commerce
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis 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 e-commerce applications product descriptions are often concise. E-Commerce search engines often have to deal with queries that cannot be easily matched to product inventory resulting in zero recall or null query situations. Null queries arise from differences in buyer and seller vocabulary or from the transient nature of products. In this paper, we describe a system that rewrites null e-commerce queries to find matching products as close to the original query as possible. The system uses query relaxation to rewrite null queries in order to match products. Using eBay as an example of a dynamic marketplace, we show how using temporal feedback that respects product category structure using the repository of expired products, we improve the quality of recommended results. The system is scalable and can be run in a high volume setting. We show through our experiments that high quality product recommendations for more than 25% of null queries are achievable.