INFORMATION TECHNOLOGY OF CONSTRUCTION OF EXPLANATIONS CONSIDERING TEMPORAL CHANGES IN REQUIREMENTS OF THE RECOMMENDER SYSTEM'S USERS
DOI:
https://doi.org/10.26906/SUNZ.2020.3.099Keywords:
recommender systems, explanation, formation of recommendations, formation of explanations, criteria for evaluating explanations, temporal rulesAbstract
The subject matter of the article is the processes of forming explanations for personalized recommendations for the choice of goods and services in recommendation systems. The goal is to develop an information technology for constructing detailed explanations regarding the proposed personal list of items in a recommendation system, taking into account temporal changes in consumer requirements to improve the efficiency of sales of goods and services in e-commerce systems. Tasks: development of an approach to the construction of temporal rules for the formation of an explanation based on the comparison of the number of sales on a sequence of time intervals; development of technology for constructing temporally oriented explanations regarding recommendations for choosing subjects in e-commerce systems. The approaches used are: approaches to constructing explanations regarding recommendations, taking into account changes in user preferences over time. The following results were obtained. An approach to the construction of temporal rules that determine the temporal dynamics of the preferences of the users of the recommender system has been developed. Using temporal rules, a technology for constructing and detailing explanations has been developed, taking into account changes in user requirements over time. Conclusions. The scientific novelty of the results obtained is as follows. An information technology is proposed for constructing detailed explanations regarding recommendations taking into account changes in user requirements over time. The technology uses temporal rule models and a temporal explanation interface model. The technology provides for the sequential construction of basic explanations taking into account the temporal dynamics of user preferences, further detailing of explanations by time intervals based on the coordination of temporal knowledge, as well as the formation of an interface of detailed explanations with the display of basic changes in user preferences and alternative changes at separate time intervals. In practical terms, the technology is focused on increasing consumer confidence in the received recommendation based on the reflection of changes in demand for the recommended products. The use of technology ensures the formation of a rational confirmation of the recommendation for the user in the form of a combination of quantitative and qualitative indicators, contributes to an increase in sales in the corresponding e-commerce systemDownloads
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