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HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
The pytorch implementation of Direct Dual Propensity Optimization for Post-Click Conversion Rate Estimation (SIGIR'24)
Source for Biased User History Synthesis for Personalized Long Tail Item Recommendation
Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
A list of awesome papers and resources of recommender system on large language model (LLM).
Large Language Model-enhanced Recommender System Papers
Latte: Latent Diffusion Transformer for Video Generation.
收集全网优质的Sora Prompt(提示词) / Collect the best prompt of Sora
Sora AI Awesome List – Your go-to resource hub for all things Sora AI, OpenAI's groundbreaking model for crafting realistic scenes from text. Explore a curated collection of articles, videos, podca…
The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23
The paper list under Sequential Recommendation task
This is our Tensorflow implementation for "Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation." (MQSA-TED) WSDM 2024.
Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)
Implementations of machine learning concepts in modules with basic numpy
Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, particularly CTR models for large-scale advertising and recom…
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA II…
Hybrid Surrogate Assisted Many-objective Evolutionary Algorithm for Expensive Multi/Many Objective Optimization Problems
【PyTorch】Easy-to-use package of Cognitive Evolutionary Search (CELS) for Click-Through Rate Prediction
Structured state space sequence models
Contrastive Learning for Conversion Rate Prediction