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Li, M. (author), Albayrak, A. (author), Zhang, Yu (author), van Eijk, D.J. (author), Yang, Zengyao (author)
The usability now serves as a fundamental quality of a computational device, e.g. smartphone. Moreover, the smartphone has firmly embedded into our daily life as an indispensable part, so the context and style that user may interact with them are largely different from a decade ago. Nowadays, testing usability with end user has become a...
conference paper 2019
document
Cui, Z. (author), Zhang, Yingying (author), Yang, Qun (author), Zhang, G.Q. (author), Chen, Xianping (author)
Interfacial properties of Cu/SiO<sub>2</sub> in semiconductor devices has been a challenging study for many years because of its difficulties in experimentally quantifying the critical strength of interface. In this paper, a multi-scale modeling approach is built to characterize the interfacial properties between Cu and SiO<sub>2</sub>. The...
conference paper 2018
document
Sun, Zhu (author), Yang, J. (author), Zhang, J. (author), Bozzon, A. (author), Huang, Long Kai (author), Xu, Chi (author)
Knowledge graphs (KGs) have proven to be effective to improve recommendation. Existing methods mainly rely on hand-engineered features from KGs (e.g., meta paths), which requires domain knowledge. This paper presents RKGE, a KG embedding approach that automatically learns semantic representations of both entities and paths between entities...
conference paper 2018
document
Yang, J. (author), Sun, Zhu (author), Bozzon, A. (author), Zhang, J. (author), Larson, M.A. (author)
The "International Workshop on Recommender Systems for Citizens" (CitRec) is focused on a novel type of recommender systems both in terms of ownership and purpose: recommender systems run by citizens and serving society as a whole.
conference paper 2017
document
Sun, Zhu (author), Yang, J. (author), Zhang, Jie (author), Bozzon, A. (author), Chen, Yu (author), Xu, Chi (author)
Representation learning (RL) has recently proven to be effective in capturing local item relationships by modeling item co-occurrence in individual user's interaction record. However, the value of RL for recommendation has not reached the full potential due to two major drawbacks: 1) recommendation is modeled as a rating prediction problem...
conference paper 2017
document
Tian, J. (author), Yang, H. (author), Zhang, Z. (author), Yuan, G. (author), Rao, Z. (author), Hua, H. (author)
conference paper 2014
document
Zhang, Z. (author), Xiao, Y. (author), Yang, Y. (author), Boom, R. (author), Voncken, J.H.L. (author)
Vitrification is considered to be an attractive technology for bottom ash treatment because it destroys the hazardous organics, contributes to immobilization of the heavy metals, and additionally it reduces drastically the volume. The main components of the vitrified bottom ash slag are SiO2 , CaO, Al2 O3 , Fe2 O3 , Na 2 O and MgO, and the...
conference paper 2009
document
Van Driel, W.D. (author), Real, R.A. (author), Yang, D.G. (author), Zhang, G.Q. (author), Pasion, J. (author)
conference paper 2007
document
Xiao, A. (author), Wang, L.G. (author), Van Driel, W.D. (author), Van Der Sluis, O. (author), Yang, D.G. (author), Ernst, L.J. (author), Zhang, G.Q. (author)
conference paper 2007
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