RecSys is the flagship conference on recommendation systems sponsored by ACM. The scope of its call for papers covers various fields of recommendation systems, including algorithm design, system implementation, theoretical derivation and evaluation testing, etc.
RecSys holds recommendation system-related competitions every year. This article will summarize historical RecSys competitions.
RecSys 2010 Challenge
http://2010.recsyschallenge.com/
Competition name: Challenge on Context-aware Movie Recommendation
比赛任务：The Challenge on Context-aware Movie Recommendation focuses on identifying contextual features in datasets and generating context-aware movie recommendations.
RecSys 2011 Challenge
http://2011.recsyschallenge.com/
Competition name: Challenge on Context-aware Movie Recommendation
比赛任务：This challenge aims to tackle the practical issue of context-aware movie recommendation. A new movie rating dataset from Moviepilot will be released for the challenge.
RecSys 2012 Challenge
http://2012.recsyschallenge.com/
Competition name: Recommender Systems Challenge
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CAMRa track
CAMRa track at RecSysChallenge focuses on context-aware recommendation of movie-related news from moviepilot.com. -
ScienceRec track
ScienceRec track focuses on recommendations to users about scientific papers that they might be interested in, using a data set that comes from the Mendeley system.
RecSys 2014 Challenge
http://2014.recsyschallenge.com/
Competition name: User Engagement as Evaluation
比赛任务：In this challenge, we intend to use a different means of evaluating recommendations. Instead on focusing on predictive qualities, our intention is to optimize recommendations on user engagement.
RecSys 2016 Challenge
http://2016.recsyschallenge.com/
比赛任务：given a XING user, the goal is to predict those job postings that a user will positively interact with (e.g. click, bookmark).
RecSys 2017 Challenge
https://www.recsyschallenge.com/2017/
比赛任务：The ACM RecSys Challenge 2017 is focussing on the problem of job recommendations on XING in a cold-start scenario.
RecSys 2018 Challenge
https://www.recsyschallenge.com/2018/
比赛任务：This year’s challenge focuses on music recommendation, specifically the challenge of automatic playlist continuation.
RecSys 2019 Challenge
https://www.recsyschallenge.com/2019/
比赛任务：This year’s challenge focuses on travel metasearch. The goal of this challenge is to develop a session-based and context-aware recommender system using various input data to provide a list of accommodations that will match the needs of the user.
RecSys 2020 Challenge
https://www.recsyschallenge.com/2020/
比赛任务：The challenge focuses on a real-world task of tweet engagement prediction in a dynamic environment. The goal is to predict the probability for different types of engagement.
RecSys 2021 Challenge
https://www.recsyschallenge.com/2021/
比赛任务：This year’s challenge brings the problem even closer to Twitter’s real recommender systems by introducing latency constraints. We will also increase the data size to encourage novel methods.
Coggle Data Science https://mp.weixin.qq.com/s/gxCxv6jUCwYGblFAjSCFQA