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Greatest papers with code

Representation Learning for Attributed Multiplex Heterogeneous Network

5 May 2019cenyk1230/GATNE

Network embedding (or graph embedding) has been widely used in many real-world applications.

GRAPH EMBEDDING LINK PREDICTION NETWORK EMBEDDING PRODUCT RECOMMENDATION

RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

2 Aug 2018criteo-research/reco-gym

Recommender Systems are becoming ubiquitous in many settings and take many forms, from product recommendation in e-commerce stores, to query suggestions in search engines, to friend recommendation in social networks.

PRODUCT RECOMMENDATION RECOMMENDATION SYSTEMS

A Tutorial on Thompson Sampling

7 Jul 2017iosband/ts_tutorial

Thompson sampling is an algorithm for online decision problems where actions are taken sequentially in a manner that must balance between exploiting what is known to maximize immediate performance and investing to accumulate new information that may improve future performance.

ACTIVE LEARNING PRODUCT RECOMMENDATION

Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification

11 Nov 2019msn199959/Logo-2k-plus-Dataset

Moreover, we propose a Discriminative Region Navigation and Augmentation Network (DRNA-Net), which is capable of discovering more informative logo regions and augmenting these image regions for logo classification.

CLASSIFICATION DATA AUGMENTATION PRODUCT RECOMMENDATION

MILDNet: A Lightweight Single Scaled Deep Ranking Architecture

3 Mar 2019gofynd/mildnet

Inspired by the fact that successive CNN layers represent the image with increasing levels of abstraction, we compressed our deep ranking model to a single CNN by coupling activations from multiple intermediate layers along with the last layer.

FINE-GRAINED VISUAL RECOGNITION IMAGE RETRIEVAL PRODUCT RECOMMENDATION RECOMMENDATION SYSTEMS

Retrieving Similar E-Commerce Images Using Deep Learning

11 Jan 2019gofynd/mildnet

In this paper, we propose a deep convolutional neural network for learning the embeddings of images in order to capture the notion of visual similarity.

FINE-GRAINED VISUAL RECOGNITION IMAGE RETRIEVAL PRODUCT RECOMMENDATION RECOMMENDATION SYSTEMS

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

26 Jan 2020mickeystroller/TaxoExpan

Taxonomies consist of machine-interpretable semantics and provide valuable knowledge for many web applications.

PRODUCT RECOMMENDATION

Complete the Look: Scene-based Complementary Product Recommendation

CVPR 2019 kang205/STL-Dataset

We design an approach to extract training data for this task, and propose a novel way to learn the scene-product compatibility from fashion or interior design images.

PRODUCT RECOMMENDATION

Low-Rank Factorization of Determinantal Point Processes for Recommendation

17 Feb 2016mankmonjre/k-DPP-reco-engine

In this work we present a new method for learning the DPP kernel from observed data using a low-rank factorization of this kernel.

POINT PROCESSES PRODUCT RECOMMENDATION

Distributed Learning of Deep Neural Networks using Independent Subnet Training

4 Oct 2019splintr-ml/splintr

We show experimentally that IST results in training time that are much lower than data parallel approaches to distributed learning, and that it scales to large models that cannot be learned using standard approaches.

IMAGE CLASSIFICATION PRODUCT RECOMMENDATION SPEECH RECOGNITION