Social-Aware Group Display Configuration in VR Conference
Authors: Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan, Wang-Chien Lee, De-Nian Yang
AAAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments on real metaverse datasets show that the proposed SVC outperforms 11 baselines by 75% in terms of solution quality. |
| Researcher Affiliation | Academia | 1 Department of Industrial Engineering and Engineering Management, National Tsing Hua University 2 Department of Computer Science, National Tsing Hua University 3 Institute of Information Systems and Applications, National Tsing Hua University 4 Department of Computer Science and Engineering, Pennsylvania State University, USA 5 Institute of Information Science, Academia Sinica 6 Research Center of Information Technology Innovation, Academia Sinica |
| Pseudocode | Yes | We present a running example and the pseudocode in Appendix D. |
| Open Source Code | No | The paper does not provide an explicit statement or link to open-source code for the described methodology. |
| Open Datasets | Yes | To evaluate the effectiveness and the efficiency of the proposed SVC, we compare SVC with 12 various baselines on 5 real datasets. i) Timik (Jankowski, Michalski, and Br odka 2017), ii) Pokec (Takac and Zabovsky 2012), iii) Youtube (Yang and Leskovec 2012), iv) SMMnet (Moraes and Cordeiro 2019), and v) Facebook (Mc Auley and Leskovec 2012). |
| Dataset Splits | No | The paper mentions “sensitivity tests” and specifies parameters like λ, θ, and ku for these tests, but it does not provide explicit training/validation/test dataset splits (e.g., percentages or sample counts) in the main text. It refers to Appendix I for experiment setup details, but the question requires the information to be explicitly present in the main paper. |
| Hardware Specification | Yes | All algorithms are implemented in a server with an Intel Xeon W-2245 CPU with 128 GB RAM. |
| Software Dependencies | No | The paper mentions the implementation environment (“a server”) but does not specify software dependencies with version numbers (e.g., programming language versions, library versions). |
| Experiment Setup | Yes | The detailed experiment setup is presented in Appendix I. ... We set λ = 0.7, θ = 0.1, and all users display slots ku = 25 by default. ... In Figs. 3(a) and 3(b), we compare the results with different values of ku = {23, 25, 28, 30} and values of λ = {0.5, 0.6, 0.7, 0.8}. |