recsys53

recsys 2020 论文列表

RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, Virtual Event Brazil, September, 2020.

Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper.

Dietmar Jannach Gabriel de Souza Pereira Moreira Even Oldridge

Predicting Twitter Engagement With Deep Language Models.

Maksims Volkovs Zhaoyue Cheng Mathieu Ravaut Hojin Yang Kevin Shen Jin Peng Zhou Anson Wong Saba Zuberi Ivan Zhang Nick Frosst Helen Ngo Carol Chen Bharat Venkitesh Stephen Gou Aidan N. Gomez

Engaging with Tweets: The Missing Dataset On Social Media.

Seyed Ali Alhosseini Raad Bin Tareaf Christoph Meinel

Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction.

Nicolò Felicioni Andrea Donati Luca Conterio Luca Bartoccioni Davide Yi Xian Hu Cesare Bernardis Maurizio Ferrari Dacrema

Gradient Boosting and Language Model Ensemble for Tweet Recommendation.

Pere Gilabert Santi Seguí

GPU Accelerated Feature Engineering and Training for Recommender Systems.

Benedikt Schifferer Gilberto Titericz Chris Deotte Christof Henkel Kazuki Onodera Jiwei Liu Bojan Tunguz Even Oldridge Gabriel de Souza Pereira Moreira Ahmet Erdem

Leveraging User Embeddings and Text to Improve CTR Predictions With Deep Recommender Systems.

Carlos Miguel Patiño Camilo Velásquez Juan Manuel Muñoz Juan Manuel Gutiérrez David Ricardo Valencia Cristian Bartolome Aramburu

A Stacking Ensemble Model for Prediction of Multi-type Tweet Engagements.

Shuhei Goda Naomichi Agata Yuya Matsumura

A combination of classification based methods for recommending tweets.

Sumit Sidana