A sequential algorithm for training text classifiers
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The application of AdaBoost for distributed, scalable and on-line learning
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Analysis of a very large web search engine query log
ACM SIGIR Forum
Bringing order to the Web: automatically categorizing search results
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Ensemble selection from libraries of models
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Automatic web query classification using labeled and unlabeled training data
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
KDD CUP-2005 report: facing a great challenge
ACM SIGKDD Explorations Newsletter
Q2C@UST: our winning solution to query classification in KDDCUP 2005
ACM SIGKDD Explorations Newsletter
The Ferrety algorithm for the KDD Cup 2005 problem
ACM SIGKDD Explorations Newsletter
Classifying search engine queries using the web as background knowledge
ACM SIGKDD Explorations Newsletter
Building bridges for web query classification
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Using query contexts in information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
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
Personal name classification in web queries
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Adapting information retrieval to query contexts
Information Processing and Management: an International Journal
Incorporating topical support documents into a small training set in text categorization
Proceedings of the 17th ACM conference on Information and knowledge management
Survey and evaluation of query intent detection methods
Proceedings of the 2009 workshop on Web Search Click Data
Classifying search queries using the Web as a source of knowledge
ACM Transactions on the Web (TWEB)
An algorithm for analyzing personalized online commercial intention
Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising
Unsupervised query categorization using automatically-built concept graphs
Proceedings of the 18th international conference on World wide web
Identifying vertical search intention of query through social tagging propagation
Proceedings of the 18th international conference on World wide web
Quantifying Asymmetric Semantic Relations from Query Logs by Resource Allocation
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Mining web query hierarchies from clickthrough data
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Proceedings of the 18th ACM conference on Information and knowledge management
Exploiting term relationship to boost text classification
Proceedings of the 18th ACM conference on Information and knowledge management
Classifying web queries by topic and user intent
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Learning recurrent event queries for web search
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Result enrichment in commerce search using browse trails
Proceedings of the fourth ACM international conference on Web search and data mining
Contextual Video Recommendation by Multimodal Relevance and User Feedback
ACM Transactions on Information Systems (TOIS)
Sparse hidden-dynamics conditional random fields for user intent understanding
Proceedings of the 20th international conference on World wide web
Real time search on the web: Queries, topics, and economic value
Information Processing and Management: an International Journal
Recognising and recommending context in social web search
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Towards the taxonomy-oriented categorization of yellow pages queries
ACM Transactions on Internet Technology (TOIT)
Recommending case bases: applications in social web search
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
A feature-free search query classification approach using semantic distance
Expert Systems with Applications: An International Journal
An evaluation of classification models for question topic categorization
Journal of the American Society for Information Science and Technology
Short text classification improved by learning multi-granularity topics
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
CluChunk: clustering large scale user-generated content incorporating chunklet information
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Query classification using topic models and support vector machine
ACL '12 Proceedings of ACL 2012 Student Research Workshop
Concept based query recommendation
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Short text classification by detecting information path
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Mining search and browse logs for web search: A Survey
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Feature engineering for semantic place prediction
Pervasive and Mobile Computing
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Web-search queries are typically short and ambiguous. To classify these queries into certain target categories is a difficult but important problem. In this article, we present a new technique called query enrichment, which takes a short query and maps it to intermediate objects. Based on the collected intermediate objects, the query is then mapped to target categories. To build the necessary mapping functions, we use an ensemble of search engines to produce an enrichment of the queries. Our technique was applied to the ACM Knowledge Discovery and Data Mining competition (ACM KDDCUP) in 2005, where we won the championship on all three evaluation metrics (precision, F1 measure, which combines precision and recall, and creativity, which is judged by the organizers) among a total of 33 teams worldwide. In this article, we show that, despite the difficulty of an abundance of ambiguous queries and lack of training data, our query-enrichment technique can solve the problem satisfactorily through a two-phase classification framework. We present a detailed description of our algorithm and experimental evaluation. Our best result for F1 and precision is 42.4% and 44.4%, respectively, which is 9.6% and 24.3% higher than those from the runner-ups, respectively.