There is currently a number of research work performed in the area of bridging the gap between Information Retrieval (IR) and Online Social Networks (OSN). This is mainly done …
J Li, M Jing, K Lu, L Zhu, Y Yang, Z Huang - Proceedings of the AAAI …, 2019 - aaai.org
Zero-shot learning (ZSL) and cold-start recommendation (CSR) are two challenging problems in computer vision and recommender system, respectively. In general, they are …
XJ Niu, SF Qin, J Vines, R Wong, H Lu - International Journal of …, 2019 - Springer
Traditionally, small and medium enterprises (SMEs) in manufacturing rely heavily on a skilled, technical and professional workforce to increase productivity and remain globally …
Z Zhu, J Kim, T Nguyen, A Fenton… - Proceedings of the 44th …, 2021 - dl.acm.org
This paper investigates recommendation fairness among new items. While previous efforts have studied fairness in recommender systems and shown success in improving fairness …
T Qi, F Wu, C Wu, Y Huang - arXiv preprint arXiv:2106.01300, 2021 - arxiv.org
Personalized news recommendation methods are widely used in online news services. These methods usually recommend news based on the matching between news content …
Y Ruan, A Durresi - Knowledge-Based Systems, 2016 - Elsevier
Trust can help participants in online social communities to make decisions; however, it is a challenge for systems to map trust into computational models because of its subjective …
Z Zhu, S Sefati, P Saadatpanah… - Proceedings of the 43rd …, 2020 - dl.acm.org
The cold start problem is a long-standing challenge in recommender systems. That is, how to recommend for new users and new items without any historical interaction record? Recent …
As the amount of recorded digital information increases, there is a growing need for flexible recommender systems which can incorporate richly structured data sources to improve …
Q Liu, J Zhu, Q Dai, XM Wu - Proceedings of the 29th International …, 2022 - aclanthology.org
Understanding news content is critical to improving the quality of news recommendation. To achieve this goal, recent studies have attempted to apply pre-trained language models …