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» New Approaches to Compare Phylogenetic Search Heuristics
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KDD
2008
ACM
128views Data Mining» more  KDD 2008»
16 years 6 months ago
Bypass rates: reducing query abandonment using negative inferences
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong
HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
16 years 11 days ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan
ERCIMDL
2008
Springer
122views Education» more  ERCIMDL 2008»
15 years 8 months ago
Improving Temporal Language Models for Determining Time of Non-timestamped Documents
Taking the temporal dimension into account in searching, i.e., using time of content creation as part of the search condition, is now gaining increasingly interest. However, in the...
Nattiya Kanhabua, Kjetil Nørvåg
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 8 months ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
ECIS
2003
15 years 7 months ago
Towards definitive benchmarking of algorithm performance
One of the primary methods employed by researchers to judge the merits of new heuristics and algorithms is to run them on accepted benchmark test cases and comparing their perform...
Andrew Lim, Wee-Chong Oon, Wenbin Zhu