Promoting Inactive Members in Edge-Building Marketplace
COMPANION OF THE WORLD WIDE WEB CONFERENCE, WWW 2023(2023)
摘要
Social networks are platforms where content creators and consumers share and consume content. The edge recommendation system, which determines who a member should connect with, significantly impacts the reach and engagement of the audience on such networks. This paper emphasizes improving the experience of inactive members (IMs) who do not have a large connection network by recommending better connections. To that end, we propose a multi-objective linear optimization framework and solve it using accelerated gradient descent. We report our findings regarding key business metrics related to user engagement on LinkedIn, a professional network with over 850 million members.
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关键词
second-pass-ranker,multi-objective optimization,people recommendation,linear programming
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