Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec
Authors: Yu-Hsuan Huang, Ling Lo, Hongxia Xie, Hong-Han Shuai, Wen-Huang Cheng
AAAI 2025 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiment results demonstrate our state-of-the-art performance across four benchmark datasets, with an average improvement of 6.16% across all metrics. |
| Researcher Affiliation | Academia | 1National Yang Ming Chiao Tung University, 2Jilin University, 3National Taiwan University EMAIL, EMAIL, EMAIL, EMAIL |
| Pseudocode | No | The paper describes the methodology using mathematical formulations and descriptive text, but does not include a distinct pseudocode or algorithm block. |
| Open Source Code | No | The paper does not provide any concrete statement about the availability of source code, nor does it include a link to a code repository. |
| Open Datasets | Yes | We use the Amazon dataset with three categories: Sports, Beauty, Toys, and the Yelp dataset. |
| Dataset Splits | No | The paper describes how subsequences are constructed from user interaction sequences for training, but it does not provide specific train/test/validation split percentages or sample counts for the datasets used in the experiments. |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., GPU models, CPU types, memory) used for running the experiments. |
| Software Dependencies | No | The paper mentions various hyperparameters and experimental settings but does not list specific software dependencies with version numbers (e.g., programming languages, libraries, or frameworks). |
| Experiment Setup | Yes | Parameter tuning is meticulously carried out; τ2 is varied within the set {8, 10}, while τ1 was fixed at 1, µ at 0.1, and m at 0.2. The parameters γ and λ are each tuned over {0.1, 0.2, 0.3, 0.4, 0.5}. We incorporate enduring hard negatives into the training process after a 20-epoch warm-up period. All experiments were conducted three times, and results were averaged for comparison. |