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Title:
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TEMPORAL INFLUENCE IN COLLABORATORS RECOMMENDATION ON SOCIAL NETWORKS |
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Author(s):
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Giseli Rabello Lopes, Mirella M. Moro, J. Palazzo M. de Oliveira |
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ISBN:
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978-989-8533-01-2 |
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Editors:
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Bebo White, Pedro Isaías and Flávia Maria Santoro |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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Recommender Systems, Social Networks, Co-Author Social Networks, Measurement. |
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Type:
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Full Paper |
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First Page:
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179 |
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Last Page:
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186 |
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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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In the last decade, defining recommendations considering Social Networks has been the focus of many studies. Such studies propose new techniques for optimizing different aspects such as the user profile generation and maintenance, the recommendation function and the user connections. Many of those consider mostly the connections established within the social networks, disregarding the rich information that can be extracted from them. In this work, we propose an overall function for recommending collaborations based on a co-authorship Social Network. These collaborations are evaluated and weighted through temporal analysis on co-author relationships. Experiments show that considering temporal aspects can lead to improvements in the ordering of recommendation results. Moreover, this can be used to reduce the number of relationships considered to generate the recommendations. |
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