This paper is focused on research addressing a large quantity of data extracted from online reviews written by tourists visiting islands. These were TripAdvisor regarding island tourist destinations since there gap in the scientific literature using this approach tourism. The Islands Sun, Boa Vista and Sal, Cape Verde, Small Island Developing State (SIDS), targets investigation. After applying ...

Hotel reviews play an important role in the selection of hotels by travelers. Online travel platforms (e.g., Tripadvisor, Expedia) provide multi-criteria room, service, location, sleep quality, etc.) ratings to make it easier for travelers choose a hotel from reviews. Through penalty-reward contrast analysis (PRCA), this study aims explore asymmetric effects attribute performance (Value, Cleanl...

Social media is a rapidly developing field in architecture and landscape research, which used to understand public opinions use. The year 2022 sees the 200th birthday of Olmsted, founding father America. While we commemorate Olmsted’s ground-breaking contribution discipline, in-depth analyses are always required examine historic legacies for their current relevancy. Taking his first practical w...

Social media services such as TripAdvisor and Foursquare can provide opportunities for users to exchange their opinions about urban green space (UGS). Visitors experiences with parks, woods, wetlands in social communities via networks. In this work, we implement a unified topic modeling approach reveal UGS characteristics. Leveraging Artificial Intelligence techniques opinion mining using the m...

Ryokans (Japanese inns) that have been having difficulty attracting guests will improve their management by accepting foreign visitors to Japan after the end of COVID-19 pandemic. This study finds attractiveness Japanese inns analyzing and comparing reviews posted in English language top 20 “Japanese popular among foreigners” on Tripadvisor (2020). As result, are Japanese-style rooms, food, tat...

This study focuses on the tourist perception of attractiveness and authenticity popular natural cultural heritage objects in Ojców National Park. A potential relationship between opinions ratings given by tourists was highlighted (based analysis data obtained from Tripadvisor, Google, Polskie Szlaki ZamkoMania websites). The selected attractions is a component that contributes to experience sma...

Most recommendation systems require some form of user feedback such as ratings in order to make personalized propositions of items. Typically ratings are unidimensional in the sense of consisting of a scalar value that represents the user’s appreciation for the rated item. Multi-criteria ratings allow users to express more differentiated opinions by allowing separate ratings for different aspec...

With the constant increase in the amount of information available in online communities, the task of building an appropriate Recommender System to support the user in her decision making process is becoming more and more challenging. In addition to the classical collaborative filtering and content based approaches, taking into account ratings, preferences and demographic characteristics of the ...

This paper presents the University of Amsterdam’s participation in TREC 2014. For the Contextual Suggestion Track, we experimented with the use of anchor text representations in the language modeling framework, and base our runs either on full ClueWeb12 or the subset of touristic aggregators (e.g., tripadvisor) provided by the organizers of the track. We also look at the effectiveness of priors...