Research on Personalized Information Recommendation of Library

DOI

10.2991/icmmct-16.2016.245How to use a DOI?

Keywords

Library, Personalized information recommendation, User profiles

Abstract

Personalized information recommendation service of library had becoming an important research task. This paper divided library users into new users and other users. It proposed the recommendation strategy based on user segmentation. On the base of these, it designed a personalized information recommendation system of library, namely, PIRSL. The experimental results indicate that the recommendation strategy is feasible.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bo He
AU  - Hongyuan Zhang
PY  - 2016/03
DA  - 2016/03
TI  - Research on Personalized Information Recommendation of Library
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1250
EP  - 1253
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.245
DO  - 10.2991/icmmct-16.2016.245
ID  - He2016/03
ER  -