Detecting mental distresses using social behavior analysis in the context of covid-19: A survey
Online social media provides a channel for monitoring people's social behaviors from which
to infer and detect their mental distresses. During the COVID-19 pandemic, online social …
to infer and detect their mental distresses. During the COVID-19 pandemic, online social …
A design concept for a tourism recommender system for regional development
Despite of tourism infrastructure and software, the development of tourism is hampered due
to the lack of information support, which encapsulates various aspects of travel …
to the lack of information support, which encapsulates various aspects of travel …
Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results
This paper summarizes the 2021 ChaLearn Looking at People Challenge on Understanding
Social Behavior in Dyadic and Small Group Interactions (DYAD), which featured two tracks …
Social Behavior in Dyadic and Small Group Interactions (DYAD), which featured two tracks …
[HTML][HTML] On the problem of recommendation for sensitive users and influential items: simultaneously maintaining interest and diversity
Recommender systems, in real-world circumstances, tend to limit user exposure to certain
topics and to overexpose them to others to maximize performance. However, repeated …
topics and to overexpose them to others to maximize performance. However, repeated …
Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection
Sarcasm is a form of sentiment expression that highlights the disparity between a person's
true intentions and the content they explicitly present. With the exponential increase in …
true intentions and the content they explicitly present. With the exponential increase in …