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A Stacking Recommender System Based on Contextual Information for Fashion Retails.

, , , , , , и . ICCSA (1), том 13375 из Lecture Notes in Computer Science, стр. 560-574. Springer, (2022)

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Till Werneck

Heitor Cury Basso

Heitor Alberto Jannke

Heitor Monteiro Duarte

Heitor Moraes Chaves Jobim

 

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User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience., , , , и . Trans. Recomm. Syst., 1 (1): 1-24 (марта 2023)Effective and diverse POI recommendations through complementary diversification models., , , , , и . Expert Syst. Appl., (2021)A Stacking Recommender System Based on Contextual Information for Fashion Retails., , , , , , и . ICCSA (1), том 13375 из Lecture Notes in Computer Science, стр. 560-574. Springer, (2022)A contextual approach to improve the user's experience in interactive recommendation systems., , , , и . WebMedia, стр. 89-96. ACM, (2021)iRec: An Interactive Recommendation Framework., , , , , и . SIGIR, стр. 3165-3175. ACM, (2022)Introducing Contextual Information in an Ensemble Recommendation System for Fashion Domains., , , , , , и . WebMedia, стр. 222-229. ACM, (2022)A Survey on Point-of-Interest Recommendation in Location-based Social Networks., , , , , и . WebMedia, стр. 185-192. ACM, (2020)Combining complementary diversification models for personalized POI recommendations., , , , и . WebMedia, стр. 209-212. ACM, (2020)The impact of first recommendations based on exploration or exploitation approaches in recommender systems' learning., , , , и . WebMedia, стр. 173-180. ACM, (2020)