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SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
15 years 9 months ago
Identifying Similarities, Periodicities and Bursts for Online Search Queries
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
15 years 9 months ago
Mining long-term search history to improve search accuracy
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
Bin Tan, Xuehua Shen, ChengXiang Zhai
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 9 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
KDD
2001
ACM
237views Data Mining» more  KDD 2001»
15 years 9 months ago
Exploiting Web Log Mining for Web Cache Enhancement
Abstract. Improving the performance of the Web is a crucial requirement, since its popularity resulted in a large increase in the user perceived latency. In this paper, we describe...
Alexandros Nanopoulos, Dimitrios Katsaros, Yannis ...
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
15 years 10 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...