Review Sites – Tripadvisor

1. Review Sites – Tripadvisor Knowledge Management in Web 2.0 (Seminar) „Hidden paradise“ „Fantastic!!!!!!!!“ „Unique“ „A pocket of paradise“ „Service is better than at a 5 star hotel“ 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 1

2. Table of contents • Scope • Structure of the site tripadvisor.com • Handling • Writing a review • A typical user • Some facts and data • Competitors • Comparsion with Web 2.0 competitors • Conventional competitors • Useful information and data • Available data • Possibilities to access data • Questions & Answers 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 2

3. Scope [Scope] Structure User Facts & data Competitors Useful information & data Available data Access data Q&A www.daodao.com www.tripadvisor.co.uk www.tripadvisor.ie www.tripadvisor.in www.tripadvisor.jp www.tripadvisor.com.br www.tripadvisor.se www.tripadvisor.com www.tripadvisor.de http://nl.tripadvisor.com www.tripadvisor.es www.tripadvisor.it www.tripadvisor.fr 13 countries with 10 different languages 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 3

4. Structure of the site tripadvisor.com Handling (I) Hotels Restaurants Reviews Overviews Attractions Resources Forums Traveler Articles Traveler Lists Vacation Rentals TripAdvisor Members Scope [Structure] User Facts & data Competitors Useful information & data Available data Access data Q&A Tripadvisors rating Only influenced by traveler ratings 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 4

5. Structure of the site tripadvisor.com Handling(II) Scope [Structure] User Facts & data Competitors Useful information & data Available data Access data Q&A 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 5

6. Structure of the site tripadvisor.com Handling (III) Scope [Structure] User Facts & data Competitors Useful information & data Available data Access data Q&A 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 6

7. Structure of the site tripadvisor.com Writing a review Scope [Structure] User Facts & data Competitors Useful information & data Available data Access data Q&A 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 7

8. A typical user ScopeStructure [User] Facts & data Competitors Useful information & data Available data Access data Q&A 64% of the users are female 76,9% of the users are bet-ween 35 and 64 years old 78,5% of the users have children 83% of the users write reviews 36% of the users have an annual household income of 110,000 USD or more Source: Laboratory for Intelligent Systems in Tourism Texas A&M University (2007) 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 8

9. Some facts and data ScopeStructure User [Facts & data] Competitors Useful information & data Available data Access data Q&A Tripadvisor is the largest travel community in the world More than 25 million unique monthly visitiors More than 10 million registered users More than 20 million reviews and opinions 3 reviews and opinions per minute More than 550,000 restaurants More than 90,000 attractions More than 400,000 hotels More than 68,000 cities 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 9

10. Comparsion with Web 2.0 competitors ScopeStructure User Facts & data [Competitors] Useful information & data Available data Access data Q&A There are many Web 2.0 competitors, for example: 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 10

11. Conventional Competitors ScopeStructure User Facts & data [Competitors] Useful information & data Available data Access data Q&A • Web 1.0 • Online travel operators • Conventional • Telecasts about traveling like VOX-Tours • Traditional travel agencies (travel catalogs) • Guidebooks 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 11

12. Useful information and data ScopeStructure User Facts & data Competitors [Useful information & data] Available data Access data Q&A • Analyse language of different reviewer groups (e.g. divided by age or origin) • Detection of common non-native speaker mistakes • Connect language and pictures • Semantical interpretation of words and expressions (e.g. positiv reviews quite often contain words like: perfect, fantastic or awesome) • Translation between different languages (e.g. Leaning Tower of Pisa, La Torre di Pisa, Schiefer Turm von Pisa, Tour de Pise) • Analyse changes of traveler articles 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 12

13. Available data ScopeStructure User Facts & data Competitors Useful information & data [Available data] Access data Q&A • Hotel, attraction or restaurant ratings, traveler reviews and photos • Top 10 lists of hotels, attractions and restaurants in a destination • Traveler photos of a destination • Hotel and Destination Travelers’ Choice award badges 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 13

14. Possibilities to access data ScopeStructure User Facts & data Competitors Useful information & data Available data [Access data] Q&A • Browser • Crawling • API (SOAP) • Content widgets (AJAX): Badges Rating & Reviewwidget Destination widget 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 14

15. Thank you for your attention ScopeStructure User Facts & data Competitors Useful information & data Available data Access data [Q&A] 12.10.2014 | Computer Science Department | Ubiquitous Knowledge Processing Lab | 15