Applying Science Models for Search
Philipp Mayr, Peter Mutschke, Vivien Petras, Philipp Schaer, York Sure

TL;DR
This paper introduces three science models—Search Term Recommendation, Bradfordizing, and Author Centrality—that are integrated into search systems to improve retrieval quality, discussing their approaches and implementation challenges.
Contribution
It presents a framework for integrating three science models into search systems, addressing practical implementation issues in real-world environments.
Findings
Enhanced retrieval quality through science models
Discussion of implementation challenges
Framework for integrating models into search systems
Abstract
The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quality. The paper discusses the approaches Search Term Recommendation, Bradfordizing and Author Centrality on a general level and addresses implementation issues of the models within a real-life retrieval environment.
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Taxonomy
TopicsWeb Data Mining and Analysis · Information Retrieval and Search Behavior · Advanced Text Analysis Techniques
