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

Book chapter

Tahira, Anum, Hussain, Walayat and Ali, Arif. (2021). Review-Based Recommender System for Hedonic and Utilitarian Products in IoT Framework. In IoT as a Service pp. 221 - 232 Springer. https://doi.org/10.1007/978-3-030-95987-6_16
AuthorsTahira, Anum, Hussain, Walayat and Ali, Arif
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.

Page range221 - 232
Year01 Jan 2021
Book titleIoT as a Service
PublisherSpringer
Place of publicationSwitzerland
ISBN978-3-030-95987-6
ISSN1867-822X
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-95987-6_16
Web address (URL)https://link.springer.com/chapter/10.1007/978-3-030-95987-6_16
Open accessPublished as non-open access
Research or scholarlyResearch
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All rights reserved
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Controlled
Output statusPublished
Publication dates
Print08 Jul 2022
Publication process dates
AcceptedJul 2022
Deposited24 Jul 2024
Additional information

© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

7th EAI International Conference, IoTaaS 2021, Sydney, Australia, December 13–14, 2021, Proceedings.

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