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Use of clustering for consideration set modeling in recommender systems

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Title:Use of clustering for consideration set modeling in recommender systems
Authors:Mirzayev, Emil
Babutsitdze, Zakaria
Rand, William
Delahaye, Thierry
Keywords:Electronic Marketing
cold-start problem
recommender systems
two-stage choice
Date Issued:05 Jan 2021
Abstract:The cold-start problem has become a significant challenge in recommender systems. To solve this problem, most approaches use various user-side data and combine them with item-side information in their systems design. However, when such user data is not available, those methods become unfeasible. We provide a novel recommender system design approach which is based on two-stage decision heuristics. By utilizing only the item-side characteristics we first identify the structure of the final choice set and then generate it using stochastic and deterministic approaches.
Pages/Duration:9 pages
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections: Electronic Marketing

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