Reflecting PES views: While representing IEEE interests [Leader’s Corner]
نویسندگان
چکیده
Report on news of interest to PES society members.
منابع مشابه
Learning Recommendations While Influencing Interests
Personalized recommendation systems (RS) are extensively used in many services. Many of these are based on learning algorithms where the RS uses the recommendation history and the user response to learn an optimal strategy. Further, these algorithms are based on the assumption that the user interests are rigid. Specifically, they do not account for the effect of learning strategy on the evoluti...
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Krisellen Maloney is Dean of Libraries at The University of Texas at San Antonio; e-mail: [email protected]. Kristin Antelman is Associate Director for the Digital Library at North Carolina State University Libraries; e-mail: [email protected]. Kenning Arlitsch is Associate Director for IT Services in the J. Willard Marriott Library at University of Utah; e-mail: kenning.arlits...
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Most existing recommendation approaches implicitly treat user tastes as unimodal, resulting in an average-of-tastes representations when multiple distinct interests are present. We show that appropriately modelling the multi-faceted nature of user tastes through a mixture-of-tastes model leads to large increases in recommendation quality. Our result holds both for deep sequence-based and tradit...
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ژورنال
عنوان ژورنال: IEEE Power & Energy Magazine
سال: 2023
ISSN: ['1558-4216', '1540-7977']
DOI: https://doi.org/10.1109/mpe.2022.3219192