Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Retrieval and novelty detection at the sentence level
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Utility-based information distillation over temporally sequenced documents
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
An evaluation of adaptive filtering in the context of realistic task-based information exploration
Information Processing and Management: an International Journal
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A new interpretation of average precision
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Rank-biased precision for measurement of retrieval effectiveness
ACM Transactions on Information Systems (TOIS)
Discounted cumulated gain based evaluation of multiple-query IR sessions
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Learning to rank relevant and novel documents through user feedback
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Evaluating multi-query sessions
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Simulating simple user behavior for system effectiveness evaluation
Proceedings of the 20th ACM international conference on Information and knowledge management
Click the search button and be happy: evaluating direct and immediate information access
Proceedings of the 20th ACM international conference on Information and knowledge management
IR system evaluation using nugget-based test collections
Proceedings of the fifth ACM international conference on Web search and data mining
Time-based calibration of effectiveness measures
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Advances on the development of evaluation measures
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Summaries, ranked retrieval and sessions: a unified framework for information access evaluation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
The water filling model and the cube test: multi-dimensional evaluation for professional search
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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An open challenge in information distillation is the evaluation and optimization of the utility of ranked lists with respect to flexible user interactions over multiple sessions. Utility depends on both the relevance and novelty of documents, and the novelty in turn depends on the user interaction history. However, user behavior is non-deterministic. We propose a new probabilistic framework for stochastic modeling of user behavior when browsing multi-session ranked lists, and a novel approximation method for efficient computation of the expected utility over numerous user-interaction patterns. Using this framework, we present the first utility-based evaluation over multi-session search scenarios defined on the TDT4 corpus of news stories, using a state-of-the-art information distillation system. We demonstrate that the distillation system obtains a 56.6% utility enhancement by combining multi-session adaptive filtering with novelty detection and utility-based optimization of system parameters for optimal ranked list lengths.