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Title:
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A QUERY ROUTING MODEL TO RANK EXPERT CANDIDATES ON TWITTER |
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Author(s):
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Cleyton Souza, Jonathas Magalhães, Evandro Costa, Joseana Fechine |
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ISBN:
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978-989-8533-16-6 |
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Editors:
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Bebo White and Pedro Isaías |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Social Query; Expertise Finding; Query Routing |
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Type:
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Full Paper |
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First Page:
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3 |
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Last Page:
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10 |
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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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Online Social Networks (OSNs) have become very popular and new ways of use their virtual environment have emerged. One of these new ways is a method to obtain information online called Social Query that consists of sharing a question on an OSN and waiting for answers come from contacts. The usual strategy is sharing a question that will be visible to everyone (public). However, this way there is no guarantee that an answer will be received neither about the quality of the answer. Directing the question to an expert about its subject (Query Routing) is a better strategy, but decides to whom direct the question is not always an easy task. In this work, we propose and evaluate a model to decide who user is the most able to receive a question and answer it correctly and quickly. The differential of our research is that we focused in OSNs context and leaded with the recommendation as multi-criteria decision making problem. Our evaluation shows promising results and confirms the great performance of our proposal. |
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