【数据科学赛】OTTO – Multi-Objective Recommender System #多目标建模 #推荐系统 #$30,000

最新推荐文章于 2023-08-23 18:18:48 发布

CompHub

最新推荐文章于 2023-08-23 18:18:48 发布

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文章标签：自然语言处理深度学习人工智能回归

原文链接：https://www.kaggle.com/competitions/otto-recommender-system/overview/evaluation

本次竞赛由德国电商巨头OTTO发起，旨在建立一个多目标推荐系统，预测电商平台上的点击、加购物车及下单行为。参赛者需基于用户会话中的历史事件来优化推荐算法，提高在线零售商向顾客推荐商品的相关性。

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以下内容摘录自比赛主页

Part1赛题介绍

1题目

OTTO – Multi-Objective Recommender System

2标签

推荐系统、多目标建模

3主办方

Otto (GmbH & Co KG)。它是德国的邮购公司，也是世界上最大的电子商务公司之一。

4背景

Your work will help online retailers select more relevant items from a vast range to recommend to their customers based on their real-time behavior. Improving recommendations will ensure navigating through seemingly endless options is more effortless and engaging for shoppers.

Part2时间安排

November 1, 2022 - Start Date.
January 24, 2023 - Entry Deadline. You must accept the competition rules before this date in order to compete.
January 24, 2023 - Team Merger Deadline. This is the last day participants may join or merge teams.
January 31, 2023 - Final Submission Deadline.

All deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted. The competition organizers reserve the right to update the contest timeline if they deem it necessary.

Part3奖励机制

1st Place - $ 15,000
2nd Place - $ 10,000
3rd Place - $ 5,000

Part4赛题描述

电商平台的多目标建模，目标包括：点击、加购物车、下单。

The goal of this competition is to predict e-commerce clicks, cart additions, and orders. You'll build a multi-objective recommender system based on previous events in a user session.

Part5评测标准

Submissions are evaluated on Recall@20 for each action type, and the three recall values are weight-averaged:

{'clicks': 0.10, 'carts': 0.30, 'orders': 0.60}