RecSys Challenge 歷年推薦賽題匯總！

Category: 國際競賽, 熱門資訊, 翰林嚴選 Date: 2022年2月18日下午3:30

RecSys是ACM主辦的推薦系統旗艦會議，其征文范疇包含推薦系統的各個領域，包括算法設計、系統實現、理論推導和評估測試等。

每年RecSys都會舉辦推薦系統相關的比賽，本文將對歷年RecSys比賽進行匯總。

RecSys 2010 Challenge

http://2010.recsyschallenge.com/

比賽名稱：Challenge on Context-aware Movie Recommendation
比賽任務：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/

比賽名稱：Challenge on Context-aware Movie Recommendation
比賽任務：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/

比賽名稱：Recommender Systems Challenge

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/

比賽名稱：User Engagement as Evaluation
比賽任務：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/

比賽任務：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/

比賽任務：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/

比賽任務：This year’s challenge focuses on music recommendation, specifically the challenge of automatic playlist continuation.

RecSys 2019 Challenge

https://www.recsyschallenge.com/2019/

比賽任務：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/

比賽任務：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/

比賽任務：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.

更多賽事信息及參賽經驗分享，請掃碼添加翰林顧問老師詳細咨詢

還有不定期的高能講座等你來參加！