Evaluating web search using task completion time

Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009

Volumn , Issue , 2009, Pages 676-677

  Xu, Ya ^a   Mease, David ^b  

^a STANFORD UNIVERSITY   (United States)

^b GOOGLE INC   (United States)

Author keywords

Evaluation metrics; Experiment design; Interactive IR and visualization; Question answering

Indexed keywords

EVALUATION METRICS; EXPERIMENT DESIGN; EXPERIMENTAL DESIGN; QUESTION ANSWERING; SEARCH ALGORITHMS; SEARCH TASKS; SEARCH TIME; TASK COMPLETION TIME; USER'S SATISFACTION; VARIANCE REDUCTIONS; WEB SEARCHES;

DESIGN; EXPERIMENTS; INFORMATION RETRIEVAL; INFORMATION SERVICES; LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS; VISUALIZATION;

WORLD WIDE WEB;

EID: 72449149209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1571941.1572073     Document Type: Conference Paper

References (2)

1. J. Allan, B. Carterette, and J. Lewis. When will information retrieval be "good enough"? In Proceedings of ACM SIGIR, pages 433-440, New York, NY, USA, 2005. ACM.
2. A. Turpin and F. Scholer. User performance versus precision measures for simple search tasks. In Proceedings of ACM SIGIR, pages 11-18, New York, NY, USA, 2006. ACM.