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Інформація × Реєстраційний номер 2123U006689, Матеріали видань та локальних репозитаріїв Категорія Препринт Назва роботи Probabilistic recommendation system with selection bias minimization Автор Luchka Yurii Дата публікації 01-01-2023 Постачальник інформації Український католицький університет Першоджерело https://hdl.handle.net/20.500.14570/4818 Видання Опис This thesis examines the issue of user selection bias in recommender sys- tems. This problem is especially acute when recommendations are built on limited data (for example, only transactional data is present, but no data on item categories, customer demographics, etc.). In this work, the solution to the problem of minimiz- ing the recommendation selection bias is proposed by building an algorithm, which will be based on finding the best next offer relative to the customer’s purchase se- quence and similar behaviour of other customers. Patterns in customer behaviour are proposed to be determined using K-Means clustering, based on the similarity between customers (namely, their sequences) found using Dynamic Time Warping. The next best offer is searched for the target variable, the basis of which is the transi- tion probability calculated using the transition matrix and the individual score of the item (in this case, it is calculated as a complex variable based on recency, frequency, and monetary). Додано в НРАТ 2025-05-09 Закрити