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Review-Based Recommender System for Hedonic and Utilitarian Products in IoT Framework

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IoT as a Service (IoTaaS 2021)

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Abstract

With the tremendous increase in product alternatives these days, many businesses rely heavily on recommender systems to limit the number of options they display to their customers on the front end. Many companies use the collaborative filtering algorithm and provide suggestions based on other consumers’ choices, like the active user. However, this approach faces a cold start problem and is not suitable for one-time transactions. Thus, this research aims to create a recommender system that uses online customer reviews in the IoT framework to match the attributes of a product important to the shopper. The algorithm makes recommendations by first identifying the product’s features essential to a customer. It then performs aspect-based sentiment analysis to identify those features in customer reviews and give them a sentiment score. Each customer review is weighted based on its creditably. As the impact of the recommender systems varies with the product type, an experimental study will be carried out to study the effect of the proposed algorithm differs with hedonic and utilitarian products.

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Authors and Affiliations

  1. School of Computer Science, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, 2007, Australia

    Anum Tahira & Walayat Hussain

  2. Victoria University Business School, Victoria University, Melbourne, 3000, Australia

    Walayat Hussain

  3. Wellington Institute of Technology, Wellington, New Zealand

    Arif Ali

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  1. Anum Tahira
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  2. Walayat Hussain
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Correspondence to Walayat Hussain .

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Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Walayat Hussain

  2. Department of Computer Science, Abdul Wali Khan University, Mardan, Pakistan

    Mian Ahmad Jan

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Tahira, A., Hussain, W., Ali, A. (2022). Review-Based Recommender System for Hedonic and Utilitarian Products in IoT Framework. In: Hussain, W., Jan, M.A. (eds) IoT as a Service. IoTaaS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 421. Springer, Cham. https://doi.org/10.1007/978-3-030-95987-6_16

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  • DOI: https://doi.org/10.1007/978-3-030-95987-6_16

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