VecLP: A Realtime Video Recommendation System for Live TV Programs
Authors: Sheng Gao, Dai Zhang, Honggang Zhang, Chao Huang, Yongsheng Zhang, Jianxin Liao, Jun Guo
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | This work also illustrates how our proposed Vec LP system makes it happen. Finally, we dispose some sort of new recommendation strategies in use at the system to meet special needs from diverse live TV programs and throw light upon how to fuse these strategies. |
| Researcher Affiliation | Collaboration | Sheng Gao , Dai Zhang , Honggang Zhang , Jianxin Liao , Chao Huang , Yongsheng Zhang , Jun Guo Beijing University of Posts and Telecommunications DOCOMO Beijing Communication Labs. {gaosheng, zhangdai, guojun} @bupt.edu.cn, liaojianxin@ebupt.com, {zhangy, huangc}@docomolabs-beijing.com.cn |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described, nor does it state that the code is publicly available. |
| Open Datasets | No | The paper does not provide concrete access information for a publicly available or open dataset. It describes building an internal library from crawled data and user information. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) needed to reproduce the data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers) needed to replicate the experiment. |
| Experiment Setup | No | The paper does not contain specific experimental setup details (concrete hyperparameter values, training configurations, or system-level settings) in the main text. |