Aplying Trip@dvice Recommendation Technology to www.visiteurope.com
نویسندگان
چکیده
Implementing decision support technologies in a real commercial tourism destination portal is challenging. First of all, the peculiar problems related to the tourism domain, which have been studied in the recent years in eCommerce and tourism research, must be considered. But, to provide an effective and useful tool, one must tackle additional requirements arising from the technical and operational environment, which influence not only the software development and architectural issues, but also methodological aspects. This paper describes the main choices we taken and the approach we followed to integrate the Trip@dvice recommendation technology in www.visiteurope.com, the major European tourism portal launched in March 2006, with the goal of promoting Europe as a tourist destination.
منابع مشابه
Interactive Itinerary Planning with Trip@dvice
This abstract describes Trip@dvice, an innovative tool to support conversational human-computer interaction in recommender systems. Trip@dvice has been applied to travel planning to help the user to build a personalized itinerary, i.e., a collection of tourism products selected from electronic catalogues. To demonstrate this tool, we have developed a WEB application, called NutKing that enables...
متن کاملSupporting Users in Organizing their Vacation Before, During, and After the Travel
To embrace the challenges of the mobile communication era and of the personalized travel planning aid, eTourism web portals need to evolve from the simplified perspective of pre-visit organizational tools to the wider perspective of personal travel advisors and companions, featuring useful, usable, accessible and engaging services before, during and after the travel. This paper describes some r...
متن کاملTrip@dvice Mobile Extension of a Case-based Travel Recommender System
In the majority of e-commerce applications for travel and tourism, users usually experience problems related to an overload of information and options to consider. Often the user receives a poor support in finding, filtering, comparing, and combining products. For the on-the-move traveller, finding interesting travel products is often highly expensive (time, and cognitive effort). We propose an...
متن کاملDeveloping a Recommendation Framework for Tourist by Mining Geo-tag Photos (Case Study Tehran District 6)
With the increasing popularity of sharing media on social networks and facilitating access to location technologies, such as Global Positioning System (GPS), people are more interested to share their own photos and videos. The world wide web users are no longer the sole consumer but they are producers of information also, hence a wealth of information are available on web 2.0 applications. The ...
متن کاملDistributed Vector Representation Of Shopping Items, The Customer And Shopping Cart To Build A Three Fold Recommendation System
The main idea of this paper is to represent shopping items through vectors because these vectors act as the base for building embeddings for customers and shopping carts. Also, these vectors are input to the mathematical models that act as either a recommendation engine or help in targeting potential customers. We have used exponential family embeddings as the tool to construct two basic vector...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006