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139
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FQAS
2009
Springer
127views Database» more  FQAS 2009»
15 years 9 months ago
Finding Top-k Approximate Answers to Path Queries
We consider the problem of finding and ranking paths in semistructured data without necessarily knowing its full structure. The query language we adopt comprises conjunctions of r...
Carlos A. Hurtado, Alexandra Poulovassilis, Peter ...
116
Voted
CIKM
2009
Springer
15 years 9 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
111
Voted
PODS
2000
ACM
146views Database» more  PODS 2000»
15 years 7 months ago
Analysis and Application of Adaptive Sampling
An estimation algorithm for a query is a probabilistic algorithm that computes an approximation for the size (number of tuples) of the query. One class of estimation algorithms us...
James F. Lynch
117
Voted
AIED
2007
Springer
15 years 8 months ago
Supporting Collaborative Idea Generation: A Closer Look Using Statistical Process Analysis Techniques
We are developing a conversational agent called VIBRANT to provide adaptive support for brainstorming in pairs in a scientific inquiry context. Our previous experimental study indi...
Hao-Chuan Wang, Carolyn Penstein Rosé
135
Voted
TREC
2008
15 years 4 months ago
A Study of Adaptive Relevance Feedback - UIUC TREC 2008 Relevance Feedback Experiments
In this paper, we report our experiments in the TREC 2008 Relevance Feedback Track. Our main goal is to study a novel problem in feedback, i.e., optimization of the balance of the...
Yuanhua Lv, ChengXiang Zhai