Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
An Efficient Boosting Algorithm for Combining Preferences
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying similarities, periodicities and bursts for online search queries
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
WWW '05 Proceedings of the 14th international conference on World Wide Web
Page quality: in search of an unbiased web ranking
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Shuffling a stacked deck: the case for partially randomized ranking of search engine results
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Learning to rank: from pairwise approach to listwise approach
Proceedings of the 24th international conference on Machine learning
Learn from web search logs to organize search results
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 2008 ACM symposium on Applied computing
Integration of news content into web results
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Time Sensitive Ranking with Application to Publication Search
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Click-through prediction for news queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Search result re-ranking by feedback control adjustment for time-sensitive query
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Exploring temporal evidence in web information retrieval
FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
Time is of the essence: improving recency ranking using Twitter data
Proceedings of the 19th international conference on World wide web
Centrality metric for dynamic networks
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Learning recurrent event queries for web search
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Improving web search relevance and freshness with content previews
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Online learning for recency search ranking using real-time user feedback
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Detecting periodic changes in search intentions in a search engine
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Understanding temporal query dynamics
Proceedings of the fourth ACM international conference on Web search and data mining
Proceedings of the 2011 ACM Symposium on Applied Computing
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Detecting and exploiting stability in evolving heterogeneous information spaces
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Learning to rank for freshness and relevance
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
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
Multi-objective optimization in learning to rank
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Recency ranking by diversification of result set
Proceedings of the 20th ACM international conference on Information and knowledge management
Multi-objective ranking of comments on web
Proceedings of the 21st international conference on World Wide Web
Joint relevance and freshness learning from clickthroughs for news search
Proceedings of the 21st international conference on World Wide Web
Modeling and predicting behavioral dynamics on the web
Proceedings of the 21st international conference on World Wide Web
Proceedings of the 15th International Conference on Extending Database Technology
Modeling transactional queries via templates
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Finding trending local topics in search queries for personalization of a recommendation system
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning-based time-sensitive re-ranking for web search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
An Online Learning Framework for Refining Recency Search Results with User Click Feedback
ACM Transactions on Information Systems (TOIS)
Exploiting External Collections for Query Expansion
ACM Transactions on the Web (TWEB)
Query-biased learning to rank for real-time twitter search
Proceedings of the 21st ACM international conference on Information and knowledge management
Survival analysis for freshness in microblogging search
Proceedings of the 21st ACM international conference on Information and knowledge management
Improving recency ranking using twitter data
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
The Effect of Social and Physical Detachment on Information Need
ACM Transactions on Information Systems (TOIS)
Evaluating web archive search systems
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Expediting search trend detection via prediction of query counts
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
Semantic similarity-based PageRank using wordnet
International Journal of Computer Applications in Technology
A survey of learning to rank for real-time twitter search
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
A click model for time-sensitive queries
Proceedings of the 22nd international conference on World Wide Web companion
Proceedings of the 22nd international conference on World Wide Web
Behavioral dynamics on the web: Learning, modeling, and prediction
ACM Transactions on Information Systems (TOIS)
The Impacts of Structural Difference and Temporality of Tweets on Retrieval Effectiveness
ACM Transactions on Information Systems (TOIS)
Timely crawling of high-quality ephemeral new content
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
How fresh do you want your search results?
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
Aggregated search: A new information retrieval paradigm
ACM Computing Surveys (CSUR)
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In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detects and responds to recency sensitive queries. The system detects recency sensitive queries using a high precision classifier. The system responds to recency sensitive queries by using a machine learned ranking model trained for such queries. We use multiple recency features to provide temporal evidence which effectively represents document recency. Furthermore, we propose several training methodologies important for training recency sensitive rankers. Finally, we develop new evaluation metrics for recency sensitive queries. Our experiments demonstrate the efficacy of the proposed approaches.