Approach to Building a Recommendation System for Libraries
Abstract
The paper considers the possibility of building a hybrid recommendation system for the electronic library catalog in the form of a recommendation service. The following options for building recommendations were considered: collaborative filtering methods, content-based recommendations. The results obtained were used to create a recommendation service, in which it is proposed to use two recommendation algorithms: collaborative filtering based on documents and recommendations based on content. Anonymized data on completed orders (order history) and data from the library's electronic catalog are used as input data for the recommendation system. An example of building a recommendation system based on content is considered.
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