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SIGIR
2010
ACM
15 years 3 months ago
Predicting searcher frustration
When search engine users have trouble finding information, they may become frustrated, possibly resulting in a bad experience (even if they are ultimately successful). In a user ...
Henry A. Feild, James Allan, Rosie Jones
WSC
2004
15 years 1 months ago
Assessing Obstacle Location Accuracy in the Remus Unmanned Underwater Vehicle
Navy personnel use the REMUS unmanned underwater vehicle to search for submerged objects. Navigation inaccuracies lead to errors in predicting the location of objects and thus inc...
Timothy E. Allen, Arnold H. Buss, Susan M. Sanchez
SIGIR
2009
ACM
15 years 6 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
SIGIR
2006
ACM
15 years 5 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
CIKM
2010
Springer
14 years 10 months ago
Document allocation policies for selective searching of distributed indexes
Indexes for large collections are often divided into shards that are distributed across multiple computers and searched in parallel to provide rapid interactive search. Typically,...
Anagha Kulkarni, Jamie Callan