Search Results for author: Keunchan Park

Found 2 papers, 1 papers with code

MvFS: Multi-view Feature Selection for Recommender System

1 code implementation5 Sep 2023 Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang

Feature selection, which is a technique to select key features in recommender systems, has received increasing research attention.

Feature Importance feature selection +1

On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models

no code implementations29 Dec 2021 Sungmin Cho, Hongjun Lim, Keunchan Park, Sungjoo Yoo, Eunhyeok Park

Personalized news recommendation aims to provide attractive articles for readers by predicting their likelihood of clicking on a certain article.

News Recommendation

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