Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Maarten W. Bos"'
Autor:
Heinrich Peters, Yozen Liu, Francesco Barbieri, Raiyan Abdul Baten, Sandra C. Matz, Maarten W. Bos
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract The success of online social platforms hinges on their ability to predict and understand user behavior at scale. Here, we present data suggesting that context-aware modeling approaches may offer a holistic yet lightweight and potentially pri
Externí odkaz:
https://doaj.org/article/0a2fee6548584d60b2d982b2b6882de4
Autor:
Julie Jiang, Nils Murrugara-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 16:393-404
The environment we are in can affect our mood and behavior. One environmental factor is weather, which is linked to sentiment as expressed on social media. However, less is known about how integrating changes in weather, along with time and location
Culture shapes people's behavior, both online and offline. Surprisingly, there is sparse research on how cultural context affects network formation and content consumption on social media. We analyzed the friendship networks and dyadic relations betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb7312840f9ee95a653e8130df065946
http://arxiv.org/abs/2301.13801
http://arxiv.org/abs/2301.13801
Autor:
Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri
Pictorial emojis and stickers are commonly used in online social networking to facilitate and aid communications. We delve into the use of Bitmoji stickers, a highly expressive form of pictorial communication using avatars resembling actual users. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4a8541db3d1d0bceca18ede90015825
http://arxiv.org/abs/2211.01426
http://arxiv.org/abs/2211.01426
Autor:
Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 15:117-128
To improve the user experience as well as business outcomes, social platforms aim to predict user behavior. To this end, recurrent models are often used to predict a user's next behavior based on their most recent behavior. However, people have habit
Publikováno v:
IEEE Transactions on Affective Computing. 11:482-492
Psychological studies have shown that personality traits are associated with book preferences. However, past findings based on questionnaires are limited to conventional book genres and do not capture niche content (e.g., family drama) and reading be
Publikováno v:
NIM Marketing Intelligence Review. 11:24-29
Thanks to the rapid progress in the field of artificial intelligence algorithms are able to accomplish an increasingly comprehensive list of tasks, and often they achieve better results than human experts. Nevertheless, many consumers have ambivalent
Publikováno v:
Journal of Marketing Research. 56:809-825
Research suggests that consumers are averse to relying on algorithms to perform tasks that are typically done by humans, despite the fact that algorithms often perform better. The authors explore when and why this is true in a wide variety of domains
Publikováno v:
Journal of Consumer Psychology. 29:370-390
Images play a central role in digital marketing. They attract attention, trigger emotions, and shape consumers’ first impressions of products and brands. We propose that the shift from one‐to‐many mass communication to highly personalized one
Autor:
Maarten W. Bos, Yozen Liu, Koustuv Saha, Neil Shah, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves
Publikováno v:
CHI
Showing ads delivers revenue for online content distributors, but ad exposure can compromise user experience and cause user fatigue and frustration. Correctly balancing ads with other content is imperative. Currently, ad allocation relies primarily o