Cross-Market Product Recommendation
Hamed Bonab, Mohammad Aliannejadi, Ali Vardasbi, Evangelos Kanoulas, James Allan
Abstract
We study the problem of recommending relevant products to users in relatively resource-scarce markets by leveraging data from similar, richer in resource auxiliary markets. We hypothesize that data from one market can be used to improve performance in another. Only a few studies have been conducted in this area, partly due to the lack of publicly available experimental data. To this end, we collect and release XMarket, a large dataset covering 18 local markets on 16 different product categories, featuring 52.5 million user-item interactions.
Topics & Concepts
Resource (disambiguation)Product (mathematics)Computer scienceMarket researchProduct marketScarcityRecommender systemBusinessData scienceWorld Wide WebMarketingMicroeconomicsEconomicsIncentiveMathematicsComputer networkGeometryRecommender Systems and TechniquesAdvanced Bandit Algorithms ResearchConsumer Market Behavior and Pricing