DieToRecs: a case-based travel advisory system.

Abstract

This chapter presents DieToRecs, a novel case-based travel advisory system. DieToRecs has been designed by incorporating a human decision model that stresses individual differences in decision styles. DieToRecs supports multiple decision styles and provides personalized recommendations exploiting a case base of recommendation sessions, which are stored by the system. Users can access the system through three main functional doors that fit to complementary groups of decision styles. Whichever the door used to enter the system, users can eventually switch the type of support required. The application relies on a component-based architecture, featuring a set of computational engines. One of these engines encapsulates the core functionality of the system - the methodologies used to rank products and manage queries. Other engines are dedicated to the personalization of the GUI and to track user activity. The system has been empirically validated and represents a value-added service for future destination management systems.

A Survey of Context-Aware Mobile Recommendations

“…For travel recommendation and advisory, Ricci et al described case-based reasoning approaches, Trip@dvice 105 and DieToRecs. 106 By exploiting a set of features for each tourist's speci¯c interaction session, these two approaches address a number of travel issues, including mix-and-match travel planning, the new package/ tourist problem, etc. Moreover, Liu et al 76 proposed a cocktail approach on personalized travel package recommendation which also combines several contextual constraints.…”

Framework for evaluation and selection of the software packages: A hybrid knowledge based system approach

“…Rule based reasoning (RBR) and case based reasoning (CBR) are the two fundamental and complementary reasoning methods of KBS (Pal and Campbell, 1997). KBS have widely been adopted to solve decision making problems in many domains (Chan et al, 2000;Kathuria et al, 1999;Vlahavas et al, 1999;McIvor and Humphreys, 2000;Liao, 2005;Tan et al, 2005;Stahl, 2006;Ricci et al, 2002). In this paper we propose hybrid knowledge based system (HKBS) approach to assists decision makers in evaluation and selection of the software packages.…”

Cooperative Query Rewriting for Decision Making Support and Recommender Systems

“…Hence, we considered two additional catalogues used in another recommender system DieToRecs (Fesenmaier et al 2003;Ricci et al 2006b). DieToRecs was described previously, and, as we did for NutKing, we mined the real queries made by a population of users that tried the system prototype, and we computed the statistics required to measure the popularity and utility score mechanisms.…”

“…DieToRecs (Intelligent Recommendation for Tourist Destination Decision Making) is a second recommender system that uses IQM (Fesenmaier et al 2003;Ricci et al 2006b). DieToRecs extends NutKing and supports multiple decision styles, one based on interactive query management and ranking based on case-based reasoning, and another called recommendation-by-proposing , first introduced by Shimazu in his ExpertClerk system (Shimazu 2001).…”