User Interest Model at Multiple Dimensions and Multiple Granularities

DOI

10.2991/ceis-16.2016.27How to use a DOI?

Keywords

user interest; meta-interest classification tree; titled time window; time decay model

Abstract

Finding user's interest and pushing related resources to user would be the best solution to aim the problem of "Information Overload" and "Lost in Internet". This paper designs a user interest model with multiple dimensions and multiple granularities, named UIM. In UIM, the interest concepts are kept by a hierarchical concept tree at different granularities, the history of interest are maintained with titled time window at multiple time granularities, and moreover current interest are discriminated from history ones by gradually fading the weights of interests. The results of simulations show that UIM is efficient to be maintained, can quickly extract users important interests in different time windows, and the correctness of finding user interest is prior to analogous methods.

Copyright

© 2017, 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  - Hui Chen
AU  - Song Deng
PY  - 2016/11
DA  - 2016/11
TI  - User Interest Model at Multiple Dimensions and Multiple Granularities
BT  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 137
EP  - 143
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.27
DO  - 10.2991/ceis-16.2016.27
ID  - Chen2016/11
ER  -