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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15672
Title: An automatic personalized photo recommender system based on learning user preferences
Authors: Arya S.
Sen D.
Raman B.
Published in: Proceedings of 2016 IEEE Annual India Conference, INDICON 2016
Abstract: This paper presents an automatic personalized photo recommender system which recommends photos from a large collection. Our proposed system recommends photos based on user-preferences about aesthetics and basic quality features of the photo. A large dataset is put together, which is used to collect user-preferences. A random forest based learning system has been employed to learn the user preferences about different image quality features including aesthetic features. The system is validated using a part of the collected user preferences as ground truth and it has been compared to the baseline of random selection of photographs. Our automatic system significantly outperforms random selection, which shows the usefulness of our proposal especially when the collection of photos is manually unmanageable. © 2016 IEEE.
Citation: Proceedings of 2016 IEEE Annual India Conference, INDICON 2016, (2017)
URI: https://doi.org/10.1109/INDICON.2016.7839076
http://repository.iitr.ac.in/handle/123456789/15672
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Aesthetics
Image features
Random forest
User-preference learning
ISBN: 9781509036462
Author Scopus IDs: 57193604277
16032436800
23135470700
Author Affiliations: Arya, S., Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India
Sen, D., Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India
Raman, B., Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India
Appears in Collections:Conference Publications [CS]

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