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» Modeling search engine effectiveness for federated search
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TREC
2004
15 years 7 months ago
Juru at TREC 2004: Experiments with Prediction of Query Difficulty
Our experiments in the Robust track this year focused on predicting query difficulty and using this prediction for improving information retrieval. We developed two prediction alg...
Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow...
SIGIR
2005
ACM
16 years 1 min ago
Predicting query difficulty on the web by learning visual clues
We describe a method for predicting query difficulty in a precision-oriented web search task. Our approach uses visual features from retrieved surrogate document representations (...
Eric C. Jensen, Steven M. Beitzel, David A. Grossm...
ISSTA
2006
ACM
16 years 12 days ago
Producing scheduling that causes concurrent programs to fail
A noise maker is a tool that seeds a concurrent program with conditional synchronization primitives (such as yield()) for the purpose of increasing the likelihood that a bug manif...
Yosi Ben-Asher, Yaniv Eytani, Eitan Farchi, Shmuel...
CIKM
2010
Springer
15 years 4 months ago
EntityEngine: answering entity-relationship queries using shallow semantics
We introduce EntityEngine, a system for answering entityrelationship queries over text. Such queries combine SQLlike structures with IR-style keyword constraints and therefore, ca...
Xiaonan Li, Chengkai Li, Cong Yu
ISVC
2007
Springer
16 years 17 days ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...