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MKM
2007
Springer
13 years 11 months ago
Methods of Relevance Ranking and Hit-content Generation in Math Search
To be effective and useful, math search systems must not only maximize precision and recall, but also present the query hits in a form that makes it easy for the user to identify...
Abdou Youssef
DEXA
2007
Springer
127views Database» more  DEXA 2007»
13 years 11 months ago
A Method for Determining Ontology-Based Semantic Relevance
The semantic web is based on ontologies and metadata that indexes resources using ontologies. This indexing is called annotation. Ontology based information retrieval is an operati...
Tuukka Ruotsalo, Eero Hyvönen
SIGIR
2012
ACM
11 years 7 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
SPIRE
2004
Springer
13 years 10 months ago
Evaluating Relevance Feedback and Display Strategies for Searching on Small Displays
Abstract Searching information resources using mobile devices is affected by displays on which only a small fraction of the set of ranked documents can be displayed. In this study ...
Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Fraylin...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 5 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