Jin Huang

BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism

2021 · arXiv (Cornell University)

Collaborative Filtering (CF) based recommendation methods have been widely studied, which can be generally categorized into two types, i.e., representation learning-based CF methods and matching function learning-based CF methods. Representation learning tries to learn a …

Peak Prediction Using Multi Layer Perceptron (MLP) for Edge Computing ASICs Targeting Scientific Applications

2022 · 2022 23rd International Symposium on Quality Electronic Design (ISQED)

High data rate detectors play an integral part in scientific research and their development is actively pursued at High Energy Physics (HEP) facilities around the world. Edge Machine Learning (ML) offers the ability to reduce …

ODNET: A Novel Personalized Origin-Destination Ranking Network for Flight Recommendation

2022 · 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Origin-Destination recommendation that recom-mends personalized origin city (O) and destination city (D) of flight itinerary is of great value for both Online Travel Platforms (OTPs) and users. Existing studies on next location recommendation propose to …

Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks

2018

With the revival of neural networks, many studies try to adapt powerful sequential neural models, ıe Recurrent Neural Networks (RNN), to sequential recommendation. RNN-based networks encode historical interaction records into a hidden state vector. Although …

Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation

2019

In this paper, we focus on the task of sequential recommendation using taxonomy data. Existing sequential recommendation methods usually adopt a single vectorized representation for learning the overall sequential characteristics, and have a limited modeling …