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Event detection over twitter social media streams
In recent years, microblogs have become an important source for reporting real-world
events. A real-world occurrence reported in microblogs is also called a social event. Social …
events. A real-world occurrence reported in microblogs is also called a social event. Social …
Improving user topic interest profiles by behavior factorization
Many recommenders aim to provide relevant recommendations to users by building
personal topic interest profiles and then using these profiles to find interesting contents for …
personal topic interest profiles and then using these profiles to find interesting contents for …
Robust image hashing with tensor decomposition
Z Tang, L Chen, X Zhang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents a new image hashing that is designed with tensor decomposition (TD),
referred to as TD hashing, where image hash generation is viewed as deriving a compact …
referred to as TD hashing, where image hash generation is viewed as deriving a compact …
Multi-modal meta multi-task learning for social media rumor detection
With the rapid development of social media platforms and the increasing scale of the social
media data, the rumor detection task has become vitally important since the authenticity of …
media data, the rumor detection task has become vitally important since the authenticity of …
Cross-modal knowledge adaptation for language-based person search
In this paper, we present a method named Cross-Modal Knowledge Adaptation (CMKA) for
language-based person search. We argue that the image and text information are not …
language-based person search. We argue that the image and text information are not …
Combining latent factor model with location features for event-based group recommendation
Groups play an essential role in many social websites which promote users' interactions and
accelerate the diffusion of information. Recommending groups that users are really …
accelerate the diffusion of information. Recommending groups that users are really …
How to learn item representation for cold-start multimedia recommendation?
The ability of recommending cold items (that have no behavior history) is a core strength of
multimedia recommendation compared with behavior-only collaborative filtering. To learn …
multimedia recommendation compared with behavior-only collaborative filtering. To learn …
Cross-entropy adversarial view adaptation for person re-identification
Person re-identification (re-ID) is a task of matching pedestrians under disjoint camera
views. To recognize paired snapshots, it has to cope with large cross-view variations caused …
views. To recognize paired snapshots, it has to cope with large cross-view variations caused …
EnAET: A self-trained framework for semi-supervised and supervised learning with ensemble transformations
Deep neural networks have been successfully applied to many real-world applications.
However, such successes rely heavily on large amounts of labeled data that is expensive to …
However, such successes rely heavily on large amounts of labeled data that is expensive to …
Group identification via transitional hypergraph convolution with cross-view self-supervised learning
With the proliferation of social media, a growing number of users search for and join group
activities in their daily life. This develops a need for the study on the group identification (GI) …
activities in their daily life. This develops a need for the study on the group identification (GI) …