STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation
Authors: Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael Lyu, Irwin King
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Evaluations on two real-world datasets demonstrate that the STELLAR model outperforms state-of-the-art successive POI recommendation model about 20% in Precision@5 and Recall@5. |
| Researcher Affiliation | Academia | Shenglin Zhao1,2, Tong Zhao1,2, Haiqin Yang1,2, Michael R. Lyu1,2, Irwin King1,2 1Shenzhen Research Institute The Chinese University of Hong Kong, Shenzhen, China 2Department of Computer Science & Engineering The Chinese University of Hong Kong, Shatin, N.T., Hong Kong {slzhao, tzhao, hqyang, lyu, king}@cse.cuhk.edu.hk |
| Pseudocode | Yes | Algorithm 1 gives the detailed procedure to learn the STELLAR model. |
| Open Source Code | No | The paper does not provide a direct link or explicit statement about the availability of open-source code for the described methodology. |
| Open Datasets | Yes | We use two check-in datasets crawled from real world LBSNs: one is Foursquare data provided in (Gao, Tang, and Liu 2012) and the other is Gowalla data (Zhao, King, and Lyu 2013). |
| Dataset Splits | Yes | In order to make our model effective for future check-ins, we split the tuples into two parts, 80% and 20% according to time sequential order. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for running the experiments (e.g., GPU/CPU models, memory). |
| Software Dependencies | No | The paper does not list specific software dependencies with version numbers. |
| Experiment Setup | Yes | We set latent dimension as 40, and train different models to get their best performances at appropriate parameters. ... The model has best performance when λ = 0.001. ... For the trade-off of performance and computation cost, we suggest to set dimension d = 40. |