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Title:
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RECO A FRAMEWORK FOR EXPERIMENTATION WITH RECOMMENDERS |
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Author(s):
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Jakub evcech, Michal Kompan, Mária Bieliková |
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ISBN:
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978-989-8533-09-8 |
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Editors:
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Bebo White and Pedro Isaías |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Personalized recommendation, experimentation, web service, evaluation. |
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Type:
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Full Paper |
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First Page:
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117 |
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Last Page:
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124 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The intensive research in the personalized recommendation area results into the need for the automatizing routine processes within the recommenders design or evaluation. In this paper we propose a novel framework for evaluation and experimentation with recommenders. Proposed approach supports basic recommenders types content based and collaborative approaches and allows researchers to add new own recommenders, evaluation metrics or similarity computation algorithms. Moreover, proposed framework allows creating hybrid recommenders by combining various approaches or settings of one approach, while the traffic control or AB testing is supported as well. Proposed solution supports various feedback types, which are collected on the target websites or application. The REST API and jQuery extension allow researchers to integrate generated recommendation into various sites easily ant thus brings significant time savings. |
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