• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 10 matches

• 2020
• 
  Seyed Ali Alhosseini, Raad Bin Tareaf, Christoph Meinel:
  Engaging with Tweets: The Missing Dataset On Social Media. RecSys Challenge 2020: 34-37
• 
  Nicolò Felicioni, Andrea Donati, Luca Conterio, Luca Bartoccioni, Davide Yi Xian Hu, Cesare Bernardis, Maurizio Ferrari Dacrema:
  Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction. RecSys Challenge 2020: 29-33
• 
  Pere Gilabert, Santi Seguí:
  Gradient Boosting and Language Model Ensemble for Tweet Recommendation. RecSys Challenge 2020: 24-28
• 
  Shuhei Goda, Naomichi Agata, Yuya Matsumura:
  A Stacking Ensemble Model for Prediction of Multi-type Tweet Engagements. RecSys Challenge 2020: 6-10
• 
  Dietmar Jannach, Gabriel de Souza Pereira Moreira, Even Oldridge:
  Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper. RecSys Challenge 2020: 44-49
• 
  Carlos Miguel Patiño, Camilo Velásquez, Juan Manuel Muñoz, Juan Manuel Gutiérrez, David Ricardo Valencia, Cristian Bartolome Aramburu:
  Leveraging User Embeddings and Text to Improve CTR Predictions With Deep Recommender Systems. RecSys Challenge 2020: 11-15
• 
  Benedikt Schifferer, Gilberto Titericz, Chris Deotte, Christof Henkel, Kazuki Onodera, Jiwei Liu, Bojan Tunguz, Even Oldridge, Gabriel de Souza Pereira Moreira, Ahmet Erdem:
  GPU Accelerated Feature Engineering and Training for Recommender Systems. RecSys Challenge 2020: 16-23
• 
  Sumit Sidana:
  A combination of classification based methods for recommending tweets. RecSys Challenge 2020: 1-5
• 
  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:
  Predicting Twitter Engagement With Deep Language Models. RecSys Challenge 2020: 38-43
• 
  RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, Virtual Event Brazil, September, 2020. ACM 2020, ISBN 978-1-4503-8835-1 [contents]