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WWW
2009
ACM
16 years 4 months ago
Computers and iphones and mobile phones, oh my!: a logs-based comparison of search users on different devices
We present a logs-based comparison of search patterns across three platforms: computers, iPhones and conventional mobile phones. Our goal is to understand how mobile search users ...
Maryam Kamvar, Melanie Kellar, Rajan Patel, Ya Xu
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 4 months ago
Multi-focal learning and its application to customer service support
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo...
EDBT
2010
ACM
122views Database» more  EDBT 2010»
15 years 11 months ago
Self-selecting, self-tuning, incrementally optimized indexes
: © Self-selecting, self-tuning, incrementally optimized indexes Goetz Graefe, Harumi Kuno HP Laboratories HPL-2010-24 database index, adaptive, autonomic, query execution In a re...
Goetz Graefe, Harumi A. Kuno
SEMWEB
2009
Springer
15 years 10 months ago
A Database Backend for OWL
Abstract. Most Semantic Web applications are build on top of technology based on the Semantic Web layer cake and the W3C ontology languages RDF(S) and OWL. However RDF(S) embodies ...
Jörg Henss, Joachim Kleb, Stephan Grimm
SIGIR
2009
ACM
15 years 10 months ago
Compressing term positions in web indexes
Large search engines process thousands of queries per second on billions of pages, making query processing a major factor in their operating costs. This has led to a lot of resear...
Hao Yan, Shuai Ding, Torsten Suel