Topic detection and tracking: event-based information organization
Topic detection and tracking: event-based information organization
Estimating frequency of change
ACM Transactions on Internet Technology (TOIT)
Bursty and Hierarchical Structure in Streams
Data Mining and Knowledge Discovery
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
Graphs over time: densification laws, shrinking diameters and possible explanations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
ICML '06 Proceedings of the 23rd international conference on Machine learning
Predicting the News of Tomorrow Using Patterns in Web Search Queries
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Integration of news content into web results
Proceedings of the Second ACM International Conference on Web Search and Data Mining
The web changes everything: understanding the dynamics of web content
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Click-through prediction for news queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Towards recency ranking in web search
Proceedings of the third ACM international conference on Web search and data mining
Time is of the essence: improving recency ranking using Twitter data
Proceedings of the 19th international conference on World wide web
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
A word at a time: computing word relatedness using temporal semantic analysis
Proceedings of the 20th international conference on World wide web
Out of sight, not out of mind: on the effect of social and physical detachment on information need
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Location and timeliness of information sources during news events
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Proceedings of the 20th ACM international conference on Information and knowledge management
User action interpretation for personalized content optimization in recommender systems
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
Learning causality for news events prediction
Proceedings of the 21st international conference on World Wide Web
Time-sensitive query auto-completion
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Stuff happens continuously: exploring web contents with temporal information
Proceedings of the 22nd international conference on World Wide Web companion
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The World Wide Web is highly dynamic and is constantly evolving to cover the latest information about the physical and social updates in the world. At the same time, the changes in web contents are entangled with new information needs and time-sensitive user interactions with information sources. To address these temporal information needs effectively, it is essential for the search engines to model web dynamics and understand the changes in user behavior over time that are caused by them. In this full-day tutorial, we focus on modeling time-sensitive content on the web, and discuss the state-of-the-art approaches for integrating temporal signals in web search. We address many of the related research topics including those associated with searching dynamic collections, defining time-sensitive relevance, understanding user query behavior over time, and investigating the mains reasons behind content changes. We also cover algorithms, architectures, evaluation methodologies and metrics for time-aware search, and discuss the latest breakthroughs and open challenges, both from the algorithmic and the architectural perspectives.