Personalized Multimedia Item and Key Frame Recommendation
Authors: Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
IJCAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, experimental results on a real-world dataset clearly show the effectiveness of our proposed model on the two recommendation tasks. |
| Researcher Affiliation | Collaboration | 1Hefei University of Technology 2The University of Arizona 3Microsoft Research |
| Pseudocode | No | The paper describes the model and optimization process using mathematical equations and text, but it does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statement about making its source code open or available, nor does it include a link to a code repository. |
| Open Datasets | Yes | To this end, we crawl a large dataset from Douban 1, which is one of the most popular movie sharing websites in China. ... 1www.douban.com |
| Dataset Splits | Yes | In data splitting process, we randomly select 70% user-movie ratings for training, 10% for validation and 20% for test. |
| Hardware Specification | No | The paper does not specify any hardware details such as GPU models, CPU types, or memory specifications used for running the experiments. |
| Software Dependencies | No | The paper mentions implementing the model in "Tensor Flow [Abadi et al., 2016]" but does not provide a specific version number for TensorFlow or any other software dependencies. |
| Experiment Setup | Yes | In our proposed JIFR model, we choose the collaborative latent dimension size d1 and the visual dimension size d2 in the set [16,32,64], and find when d1 = d2 = 32 reaches the best performance. The non-linear activation function f(x) in the attention networks is set as the Re LU function. Besides, the regularization parameter is set in range [0.0001, 0.001, 0.01, 01], and λ1 = 0.001 reaches the best performance. |