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- short-paperJuly 2020
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities
SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information RetrievalPages 2061–2064https://doi.org/10.1145/3397271.3401278Recent literature on ranking systems (RS) has considered users' exposure when they are the object of the ranking. Although items are the object of reputation-based RS, users have a central role also in this class of algorithms. Indeed, when ranking the ...
- research-articleJanuary 2020
Multi-source User Attribute Inference based on Hierarchical Auto-encoder
MMAsia '19: Proceedings of the 1st ACM International Conference on Multimedia in AsiaArticle No.: 47, Pages 1–7https://doi.org/10.1145/3338533.3366599With the rapid development of Online Social Networks (OSNs), it is crucial to construct users' portraits from their dynamic behaviors to address the increasing needs for customized information services. Previous work on user attribute inference mainly ...
- research-articleJuly 2019
Beauty Is in the Eye of the Beholder: Demographically Oriented Analysis of Aesthetics in Photographs
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 15, Issue 2sArticle No.: 63, Pages 1–21https://doi.org/10.1145/3328993Aesthetics is a subjective concept that is likely to be perceived differently among people of different ages, genders, and cultural backgrounds. While techniques that directly compute this concept in images has seen increasing attention by the multimedia ...
- research-articleAugust 2015
An Interactive Method for Inferring Demographic Attributes in Twitter
HT '15: Proceedings of the 26th ACM Conference on Hypertext & Social MediaPages 113–122https://doi.org/10.1145/2700171.2791031Twitter data offers an unprecedented opportunity to study demographic differences in public opinion across a virtually unlimited range of subjects. Whilst demographic attributes are often implied within user data, they are not always easily identified ...
- ArticleMay 2011
Human Body Shape Prediction and Analysis Using Predictive Clustering Tree
3DIMPVT '11: Proceedings of the 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and TransmissionPages 196–203https://doi.org/10.1109/3DIMPVT.2011.32Predictive modeling aims at constructing models that predict a target property of an object based on its descriptions. In digital human modeling, it can be applied to predicting human body shape from images, measurements, or descriptive features. While ...
