Veloso, Bruno, Leal, Fátima, Malheiro, Benedita and Burguillo, Juan Carlos (2020) A 2020 perspective on “Online guest profiling and hotel recommendation”: Reliability, Scalability, Traceability and Transparency. Electronic Commerce Research and Applications, 40. ISSN 1567-4223
Full text not available from this repository.Abstract
Tourism crowdsourcing platforms accumulate and use large volumes of feedback data on tourism-related services to provide personalized recommendations with high impact on future tourist behavior. Typically, these recommendation engines build individual tourist profiles and suggest hotels, restaurants, attractions or routes based on the shared ratings, reviews, photos, videos or likes. Due to the dynamic nature of this scenario, where the crowd produces a continuous stream of events, we have been exploring stream-based recommendation methods, using stochastic gradient descent (SGD), to incrementally update the prediction models and post-filters to reduce the search space and improve the recommendation accuracy. In this context, we offer an update and comment on our previous article (Veloso et al., 2019a) by providing a recent literature review and identifying the challenges laying ahead concerning the online recommendation of tourism resources supported by crowdsourced data.
Item Type: | Article |
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Uncontrolled Keywords: | Data stream mining; Profiling; Recommendation; Post-filtering |
Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HF Commerce > Business Ethics H Social Sciences > HF Commerce > Marketing > Consumer Behaviour H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Tourism Industry |
Divisions: | School of Computing > Staff Research and Publications |
Depositing User: | Tamara Malone |
Date Deposited: | 15 Jul 2025 17:28 |
Last Modified: | 15 Jul 2025 17:28 |
URI: | https://norma.ncirl.ie/id/eprint/8124 |
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