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KDD
2005
ACM
151views Data Mining» more  KDD 2005»
16 years 7 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
206
Voted
CIKM
2008
Springer
15 years 8 months ago
Mining term association patterns from search logs for effective query reformulation
Search engine logs are an emerging new type of data that offers interesting opportunities for data mining. Existing work on mining such data has mostly attempted to discover knowl...
Xuanhui Wang, ChengXiang Zhai
SIGIR
2011
ACM
14 years 9 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
WWW
2006
ACM
16 years 7 months ago
WebKhoj: Indian language IR from multiple character encodings
Today web search engines provide the easiest way to reach information on the web. In this scenario, more than 95% of Indian language content on the web is not searchable due to mu...
Prasad Pingali, Jagadeesh Jagarlamudi, Vasudeva Va...
ACMICEC
2006
ACM
141views ECommerce» more  ACMICEC 2006»
16 years 24 days ago
From HTML documents to web tables and rules
We present a browser-extending Semantic Web extraction system that maps HTML documents to tables and, where possible, to rules. First, the basic data extractor ViPER distills and ...
Kai Simon, Georg Lausen, Harold Boley