Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Optimizing web search using web click-through data
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th international conference on World Wide Web
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
The predictive power of online chatter
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Mining search engine query logs for query recommendation
Proceedings of the 15th international conference on World Wide Web
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Similarity of Temporal Query Logs Based on ARIMA Model
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Identification of nonlinear dynamics using a general spatio-temporal network
Mathematical and Computer Modelling: An International Journal
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
On relevance, time and query expansion
Proceedings of the 20th ACM international conference on Information and knowledge management
Hybrid models for future event prediction
Proceedings of the 20th ACM international conference on Information and knowledge management
Modeling and predicting behavioral dynamics on the web
Proceedings of the 21st international conference on World Wide Web
Mining the web to predict future events
Proceedings of the sixth ACM international conference on Web search and data mining
Temporal web dynamics and its application to information retrieval
Proceedings of the sixth ACM international conference on Web search and data mining
Learning to predict from textual data
Journal of Artificial Intelligence Research
Behavioral dynamics on the web: Learning, modeling, and prediction
ACM Transactions on Information Systems (TOIS)
| Hi-index | 0.00 |
The novel task we aim at in this work is to predict top terms that will prominently appear in the future news. This is a difficult task that nobody attempted before, as far as we know. We present a novel methodology for using patterns of user queries to predict future events. Query history is obtained from web resources such as Google Trends. In order to predict whether a term will appear in tomorrow's news, we examine if the terms in today's queries indicated this term in the past. We provide empirical support for the effectiveness of our method by showing its prediction power on news archives.