Work

Cross-Market Product Recommendation

Year: 2021

Type: conference-paper

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.

Source: Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI: 10.1145/3459637.3482493

Authors: Hamed Bonab, Mohammad Aliannejadi, Ali Vardasbi, Evangelos Kanoulas, James Allan

Institutions: University of Massachusetts Amherst, University of Amsterdam

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Horizon 2020 Framework Programme

Awards: ConverSE: Conversational Search Engines: Algorithms, Models, and Evaluation Methods, G2586376837, Digital Art Technical sources for the Netherlands: Integration and improvement of sources on glass for a Sustainable future (Art DATIS), G6180157266