Zobrazeno 1 - 10
of 751
pro vyhledávání: '"Wang Jianling"'
Autor:
Zhang, Weizhi, Bei, Yuanchen, Yang, Liangwei, Zou, Henry Peng, Zhou, Peilin, Liu, Aiwei, Li, Yinghui, Chen, Hao, Wang, Jianling, Wang, Yu, Huang, Feiran, Zhou, Sheng, Bu, Jiajun, Lin, Allen, Caverlee, James, Karray, Fakhri, King, Irwin, Yu, Philip S.
Cold-start problem is one of the long-standing challenges in recommender systems, focusing on accurately modeling new or interaction-limited users or items to provide better recommendations. Due to the diversification of internet platforms and the ex
Externí odkaz:
http://arxiv.org/abs/2501.01945
A significant part of the Milky Way (MW) dwarf galaxies orbit within a Vast POlar Structure (VPOS) that is perpendicular to the Galactic disk, whose origin has not yet been identified. It includes the Large Magellanic Cloud (LMC) and its six dynamica
Externí odkaz:
http://arxiv.org/abs/2501.00870
Applying style transfer to a full 3D environment is a challenging task that has seen many developments since the advent of neural rendering. 3D Gaussian splatting (3DGS) has recently pushed further many limits of neural rendering in terms of training
Externí odkaz:
http://arxiv.org/abs/2412.03371
In the domain of recommendation and collaborative filtering, Graph Contrastive Learning (GCL) has become an influential approach. Nevertheless, the reasons for the effectiveness of contrastive learning are still not well understood. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2409.19169
Autor:
Yang, Yanbin, Caffau, Elisabetta, Bonifacio, Piercarlo, Hammer, François, Wang, Jianling, Mamon, Gary A.
Dwarf spheroidal galaxies are known to be dominated by old stellar populations. This has led to the assumption that their gas-rich progenitors lost their gas during their infall in the Milky Way (MW) halo at distant look-back times. Here, we report a
Externí odkaz:
http://arxiv.org/abs/2409.15414
Sequential recommender systems aims to predict the users' next interaction through user behavior modeling with various operators like RNNs and attentions. However, existing models generally fail to achieve the three golden principles for sequential r
Externí odkaz:
http://arxiv.org/abs/2406.12580
Autor:
Wang, Jianling, Lu, Haokai, Liu, Yifan, Ma, He, Wang, Yueqi, Gu, Yang, Zhang, Shuzhou, Han, Ningren, Bi, Shuchao, Baugher, Lexi, Chi, Ed, Chen, Minmin
Traditional recommendation systems are subject to a strong feedback loop by learning from and reinforcing past user-item interactions, which in turn limits the discovery of novel user interests. To address this, we introduce a hybrid hierarchical fra
Externí odkaz:
http://arxiv.org/abs/2405.16363
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 236, Iss 3, Pp 651-652 (2021)
C9H12O5, triclinic, P1‾$P‾{1}$ (no. 2), a = 5.6537(6) Å, b = 7.7954(8) Å, c = 10.6841(9) Å, α = 102.238(8)°, β = 95.381(8)°, γ = 90.940(9)°, V = 457.83(8) Å3, Z = 2, Rgt(F) = 0.0673, wRref(F2) = 0.2279, T = 293(2) K.
Externí odkaz:
https://doaj.org/article/0c85805f89124cafaa6ca4503f172db5
With the capabilities of understanding and executing natural language instructions, Large language models (LLMs) can potentially act as a powerful tool for textual data augmentation. However, the quality of augmented data depends heavily on the augme
Externí odkaz:
http://arxiv.org/abs/2404.17642
Publikováno v:
In European Conference on Information Retrieval 2024, vol 14612 (pp. 75-89)
Collaborative filtering (CF) based recommendations suffer from mainstream bias -- where mainstream users are favored over niche users, leading to poor recommendation quality for many long-tail users. In this paper, we identify two root causes of this
Externí odkaz:
http://arxiv.org/abs/2404.08887