SCALABLE COUNTERBALANCING FRAMEWORK THAT PROMOTES INCREASED ENGAGEMENT OF INFREQUENT USERS
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United States of America Patent
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Issued Date -
Dec 1, 2022
app pub date -
Jun 1, 2021
filing date -
Jun 1, 2021
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Abstract
Described herein is a technique for generating personalized scores for a cohort of users of an online service, where the scores are for use in ranking connection recommendations, in the context of generating connection recommendations for a user of the online service. The technique involves using a linear programming (LP) problem solver to solve a multi-objective optimization problem formulated to incorporate competing objectives and specific constraints. The technique allows for personalizing recommendations scores, specifically, to ensure that infrequent users are receiving invitations to connect with other users, thereby increasing overall interaction and engagement.
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