The nature of statistical learning theory
The nature of statistical learning theory
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of a very large web search engine query log
ACM SIGIR Forum
The production of ‘context’ in information seeking research: a metatheoretical view
Information Processing and Management: an International Journal - Special issue on Information Seeking In Context (ISIC)
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Finding topic words for hierarchical summarization
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Bayesian online classifiers for text classification and filtering
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Subject categorization of query terms for exploring Web users' search interests
Journal of the American Society for Information Science and Technology
Multitasking information seeking and searching processes
Journal of the American Society for Information Science and Technology
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Characteristics of question format web queries: an exploratory study
Information Processing and Management: an International Journal
Analysis of large data logs: an application of Poisson sampling on excite web queries
Information Processing and Management: an International Journal
Combining evidence for automatic web session identification
Information Processing and Management: an International Journal - Issues of context in information retrieval
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Error analysis of difficult TREC topics
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Multimedia web searching trends: 1997-2001
Information Processing and Management: an International Journal
Mining longitudinal web queries: trends and patterns
Journal of the American Society for Information Science and Technology
Support Vector Machines: Training and Applications
Support Vector Machines: Training and Applications
Uniform object generation for optimizing one-class classifiers
The Journal of Machine Learning Research
Text classification from positive and unlabeled documents
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
A day in the life of web searching: an exploratory study
Information Processing and Management: an International Journal
Text classification and named entities for new event detection
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Hourly analysis of a very large topically categorized web query log
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Language-specific models in multilingual topic tracking
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic recognition of reading levels from user queries
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A cross-collection mixture model for comparative text mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Topic modeling for mediated access to very large document collections
Journal of the American Society for Information Science and Technology
Analysis of Statistical Question Classification for Fact-Based Questions
Information Retrieval
Application of automatic topic identification on excite web search engine data logs
Information Processing and Management: an International Journal
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A Markov random field model for term dependencies
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Group and topic discovery from relations and text
Proceedings of the 3rd international workshop on Link discovery
Using names and topics for new event detection
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Semi-supervised sequence modeling with syntactic topic models
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Learning a model of a web user's interests
UM'03 Proceedings of the 9th international conference on User modeling
Preference-based graphic models for collaborative filtering
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
Proceedings of the 17th ACM conference on Information and knowledge management
Proceedings of the Second ACM International Conference on Web Search and Data Mining
A survey on session detection methods in query logs and a proposal for future evaluation
Information Sciences: an International Journal
Analyzing and evaluating query reformulation strategies in web search logs
Proceedings of the 18th ACM conference on Information and knowledge management
Beyond DCG: user behavior as a predictor of a successful search
Proceedings of the third ACM international conference on Web search and data mining
Identifying the optimal set of parameters for new topic identification through experimental design
Expert Systems with Applications: An International Journal
Analysis and evaluation of query reformulations in different task types
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Utilizing variability of time and term content, within and across users in session detection
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Indices of novelty for emerging topic detection
Information Processing and Management: an International Journal
Topic evolution prediction of user generated contents considering enterprise generated contents
Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research
Beyond clicks: query reformulation as a predictor of search satisfaction
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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The purpose of this study is to provide automatic new topic identification of search engine query logs, and estimate the effect of statistical characteristics of search engine queries on new topic identification. By applying multiple linear regression and multi-factor ANOVA on a sample data log from the Excite search engine, we demonstrated that the statistical characteristics of Web search queries, such as time interval, search pattern and position of a query in a user session, are effective on shifting to a new topic. Multiple linear regression is also a successful tool for estimating topic shifts and continuations. The findings of this study provide statistical proof for the relationship between the non-semantic characteristics of Web search queries and the occurrence of topic shifts and continuations.