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2018 | OriginalPaper | Chapter

Question Recommendation Based on User Model in CQA

Authors : Junfeng Wang, Lei Su, Jun Chen, Di Jiang

Published in: Cloud Computing, Security, Privacy in New Computing Environments

Publisher: Springer International Publishing

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Abstract

At present, people no longer meet the way of communication between users and the Internet. And more and more people choose the interaction between users and users to get information. The community question answering system is one of the new information sharing model. In the community question answering system, users are not only the questioner but also the answer and the question is the link between the users. With the increasing number of users and the increasing number of questions and answers, it makes many questions which just were raised disappear in the category pages of the home page. Leading to the efficiency of the questions be answered greatly reduce. Aim at the recommended user’s interest, ability and time. In this paper we construct a dynamic user interest model and user expertise model. Experimental results show that the recommendation mechanism improves the efficiency of the recommendation to a certain extent.

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Metadata
Title
Question Recommendation Based on User Model in CQA
Authors
Junfeng Wang
Lei Su
Jun Chen
Di Jiang
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-69605-8_9

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