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Service-aware Recommendation and Justification of Results by Zhongli Filippo Hu is a scholarly article available to read on EtoBox.

What is Service-aware Recommendation and Justification of Results about?

The opinions of people who previously experienced items are crucial to decision-making. My Ph.D. research project is focused on finding a better way to recommend experience goods and in particular services such as apartments and tourism experiences by exploiting a description of the service underlying item fruition, such as Service Journey Maps or Blueprint. Regarding the recommender system, I propose an extension of a Top-N algorithm that takes into account service-based dimensions. For the presentation of the results, I plan to develop an incremental view that holistically summarizes the items, showing quantitative data in bar graphs and qualitative data extracted from previous consumer feedback. As a testbed for the research, I exploited the home-booking domain, using publicly available data from Airbnb.

Author

Zhongli Filippo Hu

Publisher

ACM

Published

2022

Language

EN