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93
Voted
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
16 years 1 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
73
Voted
ACL
2006
15 years 2 months ago
N Semantic Classes are Harder than Two
We show that we can automatically classify semantically related phrases into 10 classes. Classification robustness is improved by training with multiple sources of evidence, inclu...
Ben Carterette, Rosie Jones, Wiley Greiner, Cory B...
111
Voted
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
15 years 10 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
123
Voted
CINQ
2004
Springer
189views Database» more  CINQ 2004»
15 years 6 months ago
Employing Inductive Databases in Concrete Applications
In this paper we present the application of the inductive database approach to two practical analytical case studies: Web usage mining in Web logs and financial data. As far as co...
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Dani...
IUI
2006
ACM
15 years 6 months ago
An intelligent discussion-bot for answering student queries in threaded discussions
This paper describes a discussion-bot that provides answers to students’ discussion board questions in an unobtrusive and humanlike way. Using information retrieval and natural ...
Donghui Feng, Erin Shaw, Jihie Kim, Eduard H. Hovy