Attentive Social Recommendation: Towards User And Item Diversities

Overview

ASR

This is a Tensorflow implementation of the paper: Attentive Social Recommendation: Towards User And Item Diversities

Preprint, https://arxiv.org/abs/2011.04797

@article{luo2020attentive,
  title={Attentive Social Recommendation: Towards User And Item Diversities},
  author={Luo, Dongsheng and Bian, Yuchen and Zhang, Xiang and Huan, Jun},
  journal={arXiv preprint arXiv:2011.04797},
  year={2020}
}
You might also like...
A Python scikit for building and analyzing recommender systems

Overview Surprise is a Python scikit for building and analyzing recommender systems that deal with explicit rating data. Surprise was designed with th

E-Commerce recommender demo with real-time data and a graph database
E-Commerce recommender demo with real-time data and a graph database

🔍 E-Commerce recommender demo 🔍 This is a simple stream setup that uses Memgraph to ingest real-time data from a simulated online store. Data is str

Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'

OD-Rec Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation' Paper, saved teacher models and Andro

Recommendationsystem - Movie-recommendation - matrixfactorization colloborative filtering recommendation system user
Recommendationsystem - Movie-recommendation - matrixfactorization colloborative filtering recommendation system user

recommendationsystem matrixfactorization colloborative filtering recommendation

Locally Constrained Self-Attentive Sequential Recommendation
Locally Constrained Self-Attentive Sequential Recommendation

LOCKER This is the pytorch implementation of this paper: Locally Constrained Self-Attentive Sequential Recommendation. Zhankui He, Handong Zhao, Zhe L

A PaddlePaddle implementation of Time Interval Aware Self-Attentive Sequential Recommendation.
A PaddlePaddle implementation of Time Interval Aware Self-Attentive Sequential Recommendation.

TiSASRec.paddle A PaddlePaddle implementation of Time Interval Aware Self-Attentive Sequential Recommendation. Introduction 论文:Time Interval Aware Sel

NUANCED is a user-centric conversational recommendation dataset that contains 5.1k annotated dialogues and 26k high-quality user turns.
NUANCED is a user-centric conversational recommendation dataset that contains 5.1k annotated dialogues and 26k high-quality user turns.

NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions Overview NUANCED is a user-centric conversational recommen

🔎 Hunt down social media accounts by username across social networks
🔎 Hunt down social media accounts by username across social networks

Hunt down social media accounts by username across social networks Installation | Usage | Docker Notes | Contributing Installation # clone the repo $

Abilian Social Business Engine - an enterprise social networking / collaboration platform.
Abilian Social Business Engine - an enterprise social networking / collaboration platform.

About Abilian SBE (Social Business Engine) is a platform for social business applications, and more specifically collaborative / enterprise 2.0 busine

Abilian Social Business Engine - an enterprise social networking / collaboration platform.
Abilian Social Business Engine - an enterprise social networking / collaboration platform.

About Abilian SBE (Social Business Engine) is a platform for social business applications, and more specifically collaborative / enterprise 2.0 busine

Hunt down social media accounts by username across social networks
Hunt down social media accounts by username across social networks

Hunt down social media accounts by username across social networks Installation | Usage | Docker Notes | Contributing Installation # clone the repo $

[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

Towards Understanding and Mitigating Social Biases in Language Models This repo contains code and data for evaluating and mitigating bias from generat

Product-based-recommendation-system - A product based recommendation system which uses Machine learning algorithm such as KNN and cosine similarity The algorithm performs a simple user registration (Name, CPF, E-mail and Telephone) in an Amazon RDS database and also performs the storage, training and facial recognition of the user's face to identify the users already registered in the system in a next time the user is seen. Elliot is a comprehensive recommendation framework that analyzes the recommendation problem from the researcher's perspective.
Elliot is a comprehensive recommendation framework that analyzes the recommendation problem from the researcher's perspective.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

This is an example of how to automate Ridit Analysis for a dataset with large amount of questions and many item attributes

This is an example of how to automate Ridit Analysis for a dataset with large amount of questions and many item attributes

Apriori - An algorithm for frequent item set mining and association rule learning over relational databases

Apriori Apriori is an algorithm for frequent item set mining and association rul

True per-item rarity for Loot
True per-item rarity for Loot

True-Rarity True per-item rarity for Loot (For Adventurers) and More Loot A.K.A mLoot each out/true_rarity_{item_type}.json file contains probabilitie

Owner
Dongsheng Luo
Ph.D. Student @ PSU
Dongsheng Luo
Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems.

Persine, the Persona Engine Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems. It has a simple interface a

Jonathan Soma 87 Nov 29, 2022
An open source movie recommendation WebApp build by movie buffs and mathematicians that uses cosine similarity on the backend.

Movie Pundit Find your next flick by asking the (almost) all-knowing Movie Pundit Jump to Project Source » View Demo · Report Bug · Request Feature Ta

Kapil Pramod Deshmukh 8 May 28, 2022
A Python implementation of LightFM, a hybrid recommendation algorithm.

LightFM Build status Linux OSX (OpenMP disabled) Windows (OpenMP disabled) LightFM is a Python implementation of a number of popular recommendation al

Lyst 4.2k Jan 2, 2023
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop a ecosystem to experiment, share, reproduce, and deploy in real world in a smooth and easy way (Hope it can be done).

LI, Wai Yin 90 Oct 8, 2022
A framework for large scale recommendation algorithms.

A framework for large scale recommendation algorithms.

Alibaba Group - PAI 880 Jan 3, 2023
Recommendation System to recommend top books from the dataset

recommendersystem Recommendation System to recommend top books from the dataset Introduction The recom.py is the main program code. The dataset is als

Vishal karur 1 Nov 15, 2021
Implementation of a hadoop based movie recommendation system

Implementation-of-a-hadoop-based-movie-recommendation-system 通过编写代码,设计一个基于Hadoop的电影推荐系统,通过此推荐系统的编写,掌握在Hadoop平台上的文件操作,数据处理的技能。windows 10 hadoop 2.8.3 p

汝聪(Ricardo) 5 Oct 2, 2022
Books Recommendation With Python

Books-Recommendation Business Problem During the last few decades, with the rise

Çağrı Karadeniz 7 Mar 12, 2022
Bert4rec for news Recommendation

News-Recommendation-system-using-Bert4Rec-model Bert4rec for news Recommendation

saran pandian 2 Feb 4, 2022
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Annoy Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given quer

Spotify 10.6k Jan 1, 2023