Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Chenyi Lei"'
Publikováno v:
Complexity, Vol 2020 (2020)
Modeling user behaviors as sequential learning provides key advantages in predicting future user actions, such as predicting the next product to purchase or the next song to listen to, for the purpose of personalized search and recommendation. Tradit
Externí odkaz:
https://doaj.org/article/a62d157ab8f34fdf830d73983d2d02d1
Publikováno v:
Current Drug Targets. 23:1040-1056
Abstract: Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by memory impairment and cognitive decline. The obvious pathological features of AD are still amyloid plaques and neurofibrillary tangles. Development of dis
Publikováno v:
IEEE Transactions on Multimedia. 24:506-518
In e-commerce platforms, there is an emerging type of content that tells a "story" about some merchandise in the form of multimedia (text, images, video), which is named storytelling. Well told stories, like advertisements, can inspire users to purch
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
The sequential recommendation systems capture users' dynamic behavior patterns to predict their next interaction behaviors. Most existing sequential recommendation methods only exploit the local context information of an individual interaction sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d3a31254ee0bde1d72edd876c22d24b
http://arxiv.org/abs/2205.14837
http://arxiv.org/abs/2205.14837
Publikováno v:
AAAI
Visual Question Answering (VQA) raises a great challenge for computer vision and natural language processing communities. Most of the existing approaches consider video-question pairs individually during training. However, we observe that there are u
Publikováno v:
KDD
The micro-video recommendation system becomes an essential part of the e-commerce platform, which helps disseminate micro-videos to potentially interested users. Existing micro-video recommendation methods only focus on users' browsing behaviors on m
Autor:
Yong Liu, Jiamang Wang, Haihong Tang, Wanggui He, Chunyan Miao, Guoxin Wang, Shixian Luo, Houqiang Li, Chenyi Lei
Publikováno v:
ACM Multimedia
The pre-trained neural models have recently achieved impressive performances in understanding multimodal content. However, it is still very challenging to pre-train neural models for video and language understanding, especially for Chinese video-lang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5ca6200f363a0f250a9e7fa27b38119
http://arxiv.org/abs/2104.09411
http://arxiv.org/abs/2104.09411
Autor:
Yong Liu, Aixin Sun, Chunyan Miao, Haihong Tang, Guoxin Wang, Susen Yang, Chenyi Lei, Juyong Zhang
Publikováno v:
ACM Multimedia
Side information of items, e.g., images and text description, has shown to be effective in contributing to accurate recommendations. Inspired by the recent success of pre-training models on natural language and images, we propose a pre-training strat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3860424997b28fd942fd0d6a07c0114
https://hdl.handle.net/10356/156088
https://hdl.handle.net/10356/156088
Publikováno v:
Complexity, Vol 2020 (2020)
Modeling user behaviors as sequential learning provides key advantages in predicting future user actions, such as predicting the next product to purchase or the next song to listen to, for the purpose of personalized search and recommendation. Tradit