Popular consumer review sites, such as Yelp and Tripadvisor, are based upon massive amounts of voluntarily contributed content. Sharing of data among different review sites can offer certain benefits, such as more customized service and better-targeted advertisements. However, business, legal and ethical issues prevent review site providers from sharing data in bulk. This paper investigates how...

El presente trabajo propone una aplicación de herramientas provenientes del análisis redes sociales y programación para la explotación información comunidad online, más específicamente red social bimodal, obtenida web a través uso técnica scraping. Se detallan desde un enfoque teórico práctico los pasos seguidos en el proceso extracción procesamiento www.tripadvisor.com, se genera modelo que re...

In the hotel tourism sector, of course, it cannot be separated from role social media because tourists tend to share experiences about services and products offered by a hotel, such as adding pictures, reviews, ratings which will helpful references for other tourists, example on online TripAdvisor. However, tourists' many regarding make some people feel confused in determining right visit. Ther...

In this paper, we consider a classification-based approach to the recommendation of user-generated product reviews. In particular, we develop review ranking techniques that allow the most helpful reviews for a particular product to be recommended, thereby facilitating users to readily asses the quality of the product in question. We apply a supervised machine learning approach to this task and ...

When planning a trip, one essential task is to find a set of Places-of-Interest (POIs) which can be visited during the trip. Using existing travel guides or websites such as Lonely Planet and TripAdvisor, the user has to either manually work out a desirable set of POIs or take pre-configured travel packages; the former can be time consuming while the latter lacks flexibility. In this demonstrat...

Consumers’ purchase decisions are increasingly influenced by user-generated online reviews. Accordingly, there has been growing concern about the potential for posting deceptive opinion spam— fictitious reviews that have been deliberately written to sound authentic, to deceive the reader. In this paper, we explore generalized approaches for identifying online deceptive opinion spam based on a n...

The incomplete data is universal in many real-life applications due to data integration, the limitation of devices, etc. In this demonstration, we present SI2P, a restaurant recommendation System with Preference queries on Incomplete Information. SI2P is capable of friendly recommending desirable restaurants based on preference queries that take the incomplete ratings information into considera...

In psychology, theory-driven researches are usually conducted with extensive laboratory experiments, yet rarely tested or disproved with big data. In this paper, we make use of 418K travel photos with traveler ratings to test the influential “broaden-and-build” theory, that suggests positive emotions broaden one’s visual attention. The core hypothesis examined in this study is that positive emo...