Ling Li

Collaborative Filtering Recommendation Algorithm Based on label of tourist spots and User Preference

2017

The traditional collaborative filtering recommendation algorithm relies on the user's scoring relation to the item. However, user's behavior data in the filed of tourism industry is sparsely, and the interaction between the data are few. …

Machine Learning Computers With Fractal von Neumann Architecture

2020 · IEEE Transactions on Computers

Machine learning techniques are pervasive tools for emerging commercial applications and many dedicated machine learning computers on different scales have been deployed in embedded devices, servers, and data centers. Currently, most machine learning computer architectures …

Research on cloud computing high-density data center infrastructure and environment matching technology

2021 · MATEC Web of Conferences

The current rapid development of cloud computing and networks has put forward new requirements for the construction of new infrastructure such as data centers. This paper compares traditional data centers and high-density data centers, proposes …

A Personalized Recommendation Fusing Tag Feature and Temporal Context

2022

The rapid growth of users and items provides enormous potential for users to find their interested information. This has attracted a lot of attentions how to use both tag feature and temporal context to improve …

Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration

2024 · arXiv (Cornell University)

The diffusion model, a new generative modeling paradigm, has achieved significant success in generating images, audio, video, and text. It has been adapted for sequence-to-sequence text generation (Seq2Seq) through DiffuSeq, termed S2S Diffusion. Existing S2S-Diffusion …