Bir destinasyonu deneyimlemiş turistler, bu destinasyonda yaşadıkları olumlu ve/veya olumsuz durumları potansiyel turistleri uyarmak ya da onları aynı duyguları yaşamaları için teşvik etmek amacıyla paylaşmaktadır. Teknolojinin gelişmesiyle birlikte seyahat inceleme sitelerinin sayılarında artışlar yaşanmıştır. Bu artışla deneyimlerini çok daha fazla kişiyle paylaşma imkanına, turistler de dene...

In tourism studies, the analysis of online review websites is a gateway to understanding visitors’ experiences. After producing an updated inventory literary museums in Portugal, this exploratory and qualitative research examines experience at Portuguese museums, as revealed by national international visitors on TripAdvisor. absence studies these cultural attractions, paper addresses gap, using...

Many existing methods on review spam detection considering text content merely utilize simple text features such as content similarity. We explore a novel idea of exploiting text generality for improving spam detection. Besides, apart from the task of review spam detection, although there have also been some works on identifying the review spammers (users) and the manipulated offerings (items),...

Top-k spatial preference queries has a wide range of applications in service recommendation and decision support systems. In this work we first introduce three state of the art algorithms and apply them on a real data set which includes geographic coordinates and quality data of over 355 hotels, 276 point of interests and 563 restaurants in Lisbon, Portugal extracted from well-known TripAdvisor...

The new social and technological framework of Web 2.0 has resulted in the availability of significant volumes of user generated content. In some cases, user generated content describes existing services, as in the case of travel reviews, in which the users express their experiences and opinions about hotels among other aspects of travel experience. Existing approaches to measuring hotel quality...

Many consumers consult online reviews before making (online) travel arrangements. Yet, little is known about the impact of these reviews on hotel performance, and therefore managing on-line reviews has been widely neglected by the hospitality industry. The basis of the study has been obtained from the existing literature combining the Xiang et al.’s (2008) model of online tourism domain and the...

Product review sites such as TripAdvisor, Yelp or Amazon provide a single, non personalized ranking of products. The sparse review data makes personalizing recommendations difficult. Topic Profile Collaborative Filtering exploits review texts to identify user profiles as a basis for similarity. We show that careful use of the available data and separating users into classes can greatly improve ...

Near the US Capitol, in front of the National Academy of Sciences sits a gigantic bronze statue of Albert Einstein. The monument was created to celebrate Einstein and the sense of awe and wonder his work represents. However, while under construction, art critics and some scientists derided the idea of the memorial. They felt the scale of such a giant memorial did not fit the modesty of Einstein...

Social media plays an important role in today’s world and provides an efficient way for business to interact and communicate with their customers. The purpose of this paper is to analyze the English written online reviews of some three to five-star hotels in four big cities in China: Beijing, Shanghai, Guangzhou, and Shenzhen. 58 three to five-star hotels were selected through TripAdvisor inclu...

This paper presents the “Tell me What I Need” (TWIN) Personality-based Intelligent Recommender System, the goal of which is to recommend items chosen by like-minded (or “twin”) people with similar personality types which we estimate from their writings. In order to produce recommendations it applies the results achieved in the personality from the text recognition research field to Personality-...