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» Clustering user queries of a search engine
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AAAI
2006
13 years 9 months ago
Extracting Knowledge about Users' Activities from Raw Workstation Contents
A long-standing goal of AI is the development of intelligent workstation-based personal agents to assist users in their daily lives. A key impediment to this goal is the unrealist...
Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam...
ECIR
2006
Springer
13 years 9 months ago
Structural Feedback for Keyword-Based XML Retrieval
Keyword-based queries are an important means to retrieve information from XML collections with unknown or complex schemas. Relevance Feedback integrates relevance information provi...
Ralf Schenkel, Martin Theobald
ECIR
2009
Springer
13 years 5 months ago
Refining Keyword Queries for XML Retrieval by Combining Content and Structure
Abstract. The structural heterogeneity and complexity of XML repositories makes query formulation challenging for users who have little knowledge of XML. To assist its users, an XM...
Desislava Petkova, W. Bruce Croft, Yanlei Diao
IAT
2006
IEEE
14 years 1 months ago
A Multi-agent Mechanism for Topology Balancing in Unstructured P2P Networks
Unstructured P2P networks can grow in an ad-hoc and give rise to scale-free graphs where most of the nodes form clusters or hubs around few resourceful nodes. This leads to conges...
Prithviraj Dasgupta
ECIR
2011
Springer
12 years 11 months ago
Introducing the User-over-Ranking Hypothesis
The User-over-Ranking hypothesis states that rather the user herself than a web search engine’s ranking algorithm can help to improve retrieval performance. The means are longer ...
Benno Stein, Matthias Hagen