Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Document language models, query models, and risk minimization for information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Improving Text Classification by Shrinkage in a Hierarchy of Classes
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Hierarchical Text Classification and Evaluation
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Augmenting Naive Bayes Classifiers with Statistical Language Models
Information Retrieval
Cluster-based retrieval using language models
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Corpus structure, language models, and ad hoc information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Hierarchical document categorization with support vector machines
Proceedings of the thirteenth ACM international conference on Information and knowledge management
PageRank without hyperlinks: structural re-ranking using links induced by language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Improving web search results using affinity graph
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Support vector machines classification with a very large-scale taxonomy
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Query expansion using term relationships in language models for information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Language model information retrieval with document expansion
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
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
A semantic approach to contextual advertising
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Deep classification in large-scale text hierarchies
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Online expansion of rare queries for sponsored search
Proceedings of the 18th international conference on World wide web
Refined experts: improving classification in large taxonomies
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Combining naive bayes and n-gram language models for text classification
ECIR'03 Proceedings of the 25th European conference on IR research
Modeling term associations for ad-hoc retrieval performance within language modeling framework
ECIR'07 Proceedings of the 29th European conference on IR research
Combining global and local information for enhanced deep classification
Proceedings of the 2010 ACM Symposium on Applied Computing
A survey of hierarchical classification across different application domains
Data Mining and Knowledge Discovery
Adapting centroid classifier for document categorization
Expert Systems with Applications: An International Journal
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Large-scale question classification in cQA by leveraging Wikipedia semantic knowledge
Proceedings of the 20th ACM international conference on Information and knowledge management
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Hierarchical text classification of a Web taxonomy is challenging because it is a very large-scale problem with hundreds of thousands of categories and associated documents. Furthermore, the conceptual levels and training data availabilities of categories vary widely. The narrow-down approach is the state of the art; it utilizes a search engine for generating candidates from the taxonomy and builds a classifier for the final category selection. In this paper, we take the same approach but address the issue of using global information in a language modelling framework to improve effectiveness. We propose three methods of using non-local information for the task: a passive way of utilizing global information for smoothing; an aggressive way where a top-level classifier is built and integrated with a local model; and a method of using label terms associated with the path from a category to the root, which is based on our systematic observation that they are underrepresented in the documents. For evaluation, we constructed a document collection from Web pages in the Open Directory Project. A series of experiments and their results show the superiority of our methods and reveal the role of global information in hierarchical text classification.