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» Ranking Query Results using Context-Aware Preferences
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SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
16 years 4 months ago
DataLens: making a good first impression
When a database query has a large number of results, the user can only be shown one page of results at a time. One popular approach is to rank results such that the "best&quo...
Bin Liu, H. V. Jagadish
CIKM
2010
Springer
15 years 2 months ago
Online learning for recency search ranking using real-time user feedback
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohu...
ECIR
2007
Springer
15 years 5 months ago
Query Hardness Estimation Using Jensen-Shannon Divergence Among Multiple Scoring Functions
We consider the issue of query performance, and we propose a novel method for automatically predicting the difficulty of a query. Unlike a number of existing techniques which are b...
Javed A. Aslam, Virgiliu Pavlu
CIKM
2009
Springer
15 years 10 months ago
MRM: an adaptive framework for XML searching
In order to deal with the diversified nature of XML documents as well as individual user preferences, we propose a novel Multiodel (MRM), which is able to abstract a spectrum of i...
Ho Lam Lau, Wilfred Ng
136
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WAW
2007
Springer
77views Algorithms» more  WAW 2007»
15 years 10 months ago
Using Bloom Filters to Speed Up HITS-Like Ranking Algorithms
Abstract. This paper describes a technique for reducing the querytime cost of HITS-like ranking algorithm. The basic idea is to compute for each node in the web graph a summary of ...
Sreenivas Gollapudi, Marc Najork, Rina Panigrahy