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bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

bi-tgcf

Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks

biblosa

Bi-Directional Block Self-Attention

biblosa-pytorch

Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.

bigscity-libcity-docs

Docs of LibCity

bigscity-libcity-paperlist

Paper list in traffic prediction field

bilstm4rec

Sequence-based Recommendation with Bidirectional LSTM Network

book-recommendation-system

Recommendation System

boxcars

Source code related to BoxCars publication

bptf

Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization

buaa-dl2021

BUAA-2021深度学习中作业

bytenet-tensorflow

ByteNet for character-level language modelling

c2dsr

An unofficial PyTorch imlpementation of C2DSR [CIKM 2022] "Contrastive Cross-Domain Sequential Recommendation".

c2dsr-1

[CIKM 2022]Contrastive Cross-Domain Sequential Recommendation

cape

In this repository, We're going to implement the paper, which is "Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation", (B. Chang et al, IJCAI-ECAI'18), using a PyTorch library.

capri

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

cara

An implementation of Contextual Attention Recurrent Architecture (SIGIR 2018)

carp

The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216

cart

cascn

Information Diffusion Prediction via Recurrent Cascades Convolution

caser

TensorFlow implemenation of Caser model in paper "Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding"

caser_pytorch

A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

cast

Code and dataset of our paper "Context-Aware Seq2seq Translation Model for Sequential Recommendation" submitted to Information Sciences.

cat-art

One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)

catdm

category_based_rs

catem

cathi

Context-aware Trajectory Embedding and Human Mobility Inference

catn

The implementation of SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng and Aixin Sun

catn-1

The implementation of our SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng and Aixin Sun