Web-based Recommenders for Personalized City Tours: A Usage Analysis
نویسندگان
چکیده
The World Wide Web provides information for most tourist locations and thus has enormous influence on tourists’ decisions. However, Web applications rarely support all phases of tour planning. The city of Görlitz offers website visitors an opportunity to plan individual city tours in advance by specifying personal interests and tour preferences. Using this information, the system creates a personalized tour plan with content and navigational information displayed online or sent per email as a PDF document. Analyses of the usage data indicate that most of the average use time of 9 minutes is spent looking at the recommended tour, which suggests that users had a general interest in the recommendations made. Based on the overall use behavior, two kinds of users were identified: concrete planners and destination explorers. A comparison of the web-based application with the mobile version suggests the Web a more user-friendly environment than mobile devices.
منابع مشابه
Creating Personalized City Tours Using the CHIP Prototype
This paper explores the applicability of the software prototype developed for personalized access to semantically enriched art collection of the Rijksmuseum in Amsterdam in a different environment – city rather than museum. As a case study we take Amsterdam, a World Heritage City, i.e. a city that includes urban areas designated as World Heritage (WH). This is the first step towards turning our...
متن کاملHybrid Adaptive Educational Hypermedia Recommender Accommodating User’s Learning Style and Web Page Features
Personalized recommenders have proved to be of use as a solution to reduce the information overload problem. Especially in Adaptive Hypermedia System, a recommender is the main module that delivers suitable learning objects to learners. Recommenders suffer from the cold-start and the sparsity problems. Furthermore, obtaining learner’s preferences is cumbersome. Most studies have only focused...
متن کاملA Knowledge-Based Framework for the Rapid Development of Conversational Recommenders
Web-based sales assistance systems are a valuable means to guide online customers in the decision-making and product selection process. Conversational recommenders simulate the behavior of an experienced sales expert, which is a knowledge-intensive task and requires personalized user interaction according to the customers’ needs and skills. In this paper, we present the ADVISOR SUITE framework ...
متن کاملCollaborative Personalized Web Recommender System using Entropy based Similarity Measure
On the internet, web surfers, in the search of information, always strive for recommendations. The solutions for generating recommendations become more difficult because of exponential increase in information domain day by day. In this paper, we have calculated entropy based similarity between users to achieve solution for scalability problem. Using this concept, we have implemented an online u...
متن کاملUser Modeling for Personalized City Tours 1
Several current support systems for travel and tourism are aimed at providing information in a personalized manner, taking users interests and preferences into account. In this vein, personalized systems observe users behavior and, based thereon, make generalizations and predictions about them. This article describes a user modeling server that offers services to personalized systems with reg...
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 2007