This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
[Neurocomputing 2025] The code for the paper "TiM4Rec: An Efficient Sequential Recommendation Model Based on Time-Aware Structured State Space Duality Model"
Time Aware LSTM Cell implementation in Pytorch
The Pytorch implementation of Time aware and Feature similarity Self Attention in Vessel Fuel Consumption Prediction
A Model Context Protocol (MCP) server that provides AI agents with comprehensive temporal awareness and time calculation capabilities.
使用扩散模型来进行POI推荐，新增了签到时间信息
This is the official implementation for our SDM 2022 paper "Time-aware Multi-interest Capsule Network for Sequential Recommendation".
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