Nowadays, we are living in an age of recommendation. Amazon stays ahead of the curve in the eCommence industry by personalized recommendation of items shoppers might like based on past orders; Google news generates click through rates by showing relevant content to readers; TripAdvisor provides different hotel rankings for different users; Last.fm displays "Play your recommendations" button on ...

Purpose – This study aims to find out the expectations of customers regarding 5-star SPA hotels in Sapanca, and reveal factors affecting customer satisfaction hotels. Design/methodology/approach Qualitative research method was used study.485 positive negative reviews made between April 1, 2020, 20201 Sapanca on Tripadvisor.com were reviewed. These branched into significant groups through conte...

Platforms such as Yelp and TripAdvisor aggregate crowd-sourced information about users’ experiences with products and services. We analyze their impact on the hotel industry using a panel of hotel prices, sales and reviews from five US states over a 10-year period from 2005-2014. Both hotel demand and prices are positively correlated with their average ratings on TripAdvisor, Expedia and Hotels...

Recent technological developments have made easier for consumers to share their experiences and thoughts online. In addition, online comments are suitable when making travel plans. Moreover, the awareness of on a tourist site is benefit both visitors managers. this context, purpose study evaluate by about Gobeklitepe TripAdvisor site. study, data were analyzed content analysis method. All 518 u...

This study concerns the problem of aspect-level opinion (sentiment) mining from online reviews. The problem consists of two fundamental sub-tasks: aspect extraction (identify specific aspects of the product from reviews), and aspect rating estimation (offer a numerical rating for each aspect). Solving this problem is important and useful for many applications, e.g., providing aspect-level revie...

Today, a large volume of hotel reviews is available on many websites, such as TripAdvisor (http://www.tripadvisor.com) and Orbitz (http://www.orbitz.com). A typical review contains an overall rating and several aspect ratings along with text. The rating is perceived as an abstraction of reviewers’ satisfaction in terms of points. Although the amount of reviews having aspect ratings is growing, ...

The main goals of this research are to determine customers’ requirements from hotels based on TripAdvisor and the technical capabilities fulfill requirements. Latent Dirichlet Allocation (LDA) used in is method customer review TripAdvisor. An output LDA as input Voice Customer (VOC) quality function deployment (QFD). A hotel selected be a case study for implementing integration QFD. Questionnai...