Using Common Sense in Providing Personalized Recommendations in the Tourism Domain
Published 1 January 2009
Berardina De Carolis, Irene Mazzotta, Nicole Novielli, Vincenzo Silvestri
Citations19
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This paper presents the first results of the application of common sense knowledge to the recommendation engine of MyMap, a mobile recommender system able to provide personalized presentation of objects of interest in the Tourism Domain.
Abstract
Most of mobile tourism recommender systems take into account mainly the users preferences and location when providing personalized suggestions about what to see in the area (either reactively or proactively). MyMap is a mobile recommender system able to provide personalized presentation of objects of interest in the Tourism Domain that exploits two main knowledge sources: the user profile, that is formalized in order to express situational statements and the current context. In our evaluation experiments we discovered that MyMap suggestions missed of common sense knowledge. For instance: if it is raining recommendations about open-air places should be avoided even if the user strongly prefers these kind of places and has not expressed any preference about alternatives. In this paper, we will illustrate how this functionality has been added to the system and we present the first results of the application of common sense knowledge to the recommendation engine of MyMap.
Keywords
Computer Science
IEEE Transactions on Knowledge and Data EngineeringToward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
10,115 Citations2005Gediminas Adomavičius, Alexander Tuzhilin
This paper presents an overview of the field of recommender systems and describes the current generation of recommendation methods that are usually classified into the following three main categories: content-based, collaborative, and hybrid recommendation approaches.
Personal and Ubiquitous ComputingUnderstanding and Using Context
4,903 Citations2001Anind K. Dey
An operational definition of context is provided and the different ways in which context can be used by context-aware applications are discussed, including the features and abstractions in the toolkit that make the task of building applications easier.
Wireless NetworksCyberguide: A mobile context‐aware tour guide
1,365 Citations1997Gregory D. Abowd, Christopher G. Atkeson +4 more
The Cyberguide project is presented, in which the authors are building prototypes of a mobile context‐aware tour guide that is used to provide more of the kind of services that they come to expect from a real tour guide.
Developing a context-aware electronic tourist guide
961 Citations2000Keith Cheverst, Nigel Davies +3 more
An evaluation of GUIDE, an intelligent electronic tourist guide that combines mobile computing technologies with a wireless infrastructure to present city visitors with information tailored to both their personal and environmental contexts is presented.
Tourism and mobile technology
369 Citations2003Barry Brown, Matthew Chalmers
An ethnographic study of city tourists' practices that draws out a number of implications for designing tourist technology, including the Travelblog, which supports building travel-based web pages while on holiday.
CRUMPET: creation of user-friendly mobile services personalised for tourism
282 Citations2001Stefan Poslad
The EU funded research project CRUMPET addresses factors and will provide new information delivery services for a far more heterogeneous tourist population, integrating four key emerging technology domains and applying them to the tourism domain.
User Modeling and User-Adapted InteractionMediation of user models for enhanced personalization in recommender systems
207 Citations2007Shlomo Berkovsky, Tsvi Kuflik +1 more
A generic user modeling data representation model is provided, which demonstrates its compatibility with existing recommendation techniques, and allows improving the quality of the recommendations provided to the users in certain conditions.
Journal of Biomedical InformaticsUser modeling and adaptation in health promotion dialogs with an animated character
73 Citations2006Fiorella de Rosis, Nicole Novielli +3 more
The intent is to develop a system that dynamically models the agent and the user and adapts the agent's counseling dialog accordingly and automatically determine the user's dietary behavior stage of change and attitude towards the agent on the basis of unconstrained typed text dialog.
Developing a location based tourist guide application
70 Citations2003Todd Simcock, Stephen Peter Hillenbrand +1 more
The Tourist Guide system is described, the processes involved in the development of this application are discussed, and the design and usability issues are looked at.
IEEE Intelligent SystemsPortia: A User-Adapted Persuasion System in the Healthy-Eating Domain
57 Citations2007Irene Mazzotta, Fiorella de Rosis +1 more
The prototype persuasion system is the argumentation module of a dialogue system that informs its users about various eating habits' advantages and disadvantages, provides suggestions in this domain, and tries to persuade them to gradually modify problem behaviors.
Lecture notes in computer scienceAccesSights – A Multimodal Location-Aware Mobile Tourist Information System
47 Citations2004Palle Klante, Jens Krösche +1 more
The introduced AccesSights system is based on the highly flexible and modular Niccimon platform and designed a multimodal user interface to support different user groups – each in their suitable fashion.
International Joint Conference on Artificial IntelligenceUser Evaluation of a Conversational Recommender System
26 Citations2005Pontus Wärnestål
Conversational recommender systems (CRSs) approach user preference acquisition from a conversational point of view, where preferences are captured and put to use in the course of on-going natural liking.
Applied IntelligenceMyMap: Generating personalized tourist descriptions
16 Citations2007Berardina De Carolis, Giovanni Cozzolongo +2 more
MyMap is a system able to generate personalized presentation of objects of interest starting from an annotated city map, and an evaluation study has shown that the quality of the generated description is adequate compared with human-written descriptions.
Self-organized control of knowledge generation in pervasive computing systems
5 Citations2009Gabriella Castelli, Ronaldo Menezes +1 more
The paper shows how the basic mechanism by which the W4 model autonomously generate new knowledge can generate knowledge overflow, and proposes a method to select---in a self-organizing way---what kinds of knowledge should be generated based on their importance; hence preventing knowledge overflow.
WOAA Personal Agent Supporting Ubiquitous Interaction.
5 Citations2004Giovanni Cozzolongo, Berardina De Carolis +1 more
A system in which a user may delegate her own agent to interact with the environment modeled as a set of agents providing services of different kind is proposed.