181 search results - page 11 / 37 » Retrieval and feedback models for blog feed search |
SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
SIGIR
2005
ACM
15 years 3 months ago
2005
ACM
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
SIGIR
2006
ACM
15 years 3 months ago
2006
ACM
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
86
Voted
CIVR
2006
Springer
15 years 1 months ago
2006
Springer
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
62
Voted
CIKM
2010
Springer
14 years 7 months ago
2010
Springer
We present a flexible new optimization framework for finding effective, reliable pseudo-relevance feedback models that unifies existing complementary approaches in a principled wa...