Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

User Interest Model at Multiple Dimensions and Multiple Granularities

Authors
Hui Chen, Song Deng
Corresponding Author
Hui Chen
Available Online November 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/ceis-16.2016.27How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.27
DO  - https://doi.org/10.2991/ceis-16.2016.27
ID  - Chen2016/11
ER  -