Proceedings ArticleDOI
Recommendation system for tourist attraction information service
Alexander V. Smirnov,Alexey Kashevnik,Andrew Ponomarev,Nikolay Shilov,Maksim Schekotov,Nikolay Teslya +5 more
- pp 148-155
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TLDR
A description of information decision support system in the tourism domain and a set of methods and algorithms for generating recommendations for a user that allow significant increase of the system usability are proposed.Abstract:
The paper proposes a description of information decision support system in the tourism domain and a set of methods and algorithms for generating recommendations for a user that allow significant increase of the system usability. The system generates for the user recommendations which attractions at the moment are better to attend based on the user preferences and the current situation in the location area. The system also allows showing the user information about interesting attraction in more detail, which is based on analyzing information evaluations made by other users.read more
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Journal ArticleDOI
Antecedents and Consequences of Work-Related Smartphone Use on Vacation: An Exploratory Study of Taiwanese Tourists
TL;DR: Wang et al. as discussed by the authors investigated the potential problems of work-related smartphone use on vacation and found that nearly 40% of respondents used their smartphones for work during their most recent vacation, while a majority reported negative impacts as a result of using smartphone for work purposes on vacation.
Smart Space-Based Tourist Recommendation System Application for Mobile Devices
Alexander V. Smirnov,Alexey Kashevnik,Andrew Ponomarev,Nikolay Teslya,Maksim Shchekotov,Sergey Balandin +5 more
TL;DR: The paper presents smart space-based tourist recommendation system that allows acquiring information about places of interests around the tourist from different internet sources (like wikipedia, wikivoyage, wikitravel, panoramio, flickr) based on smart space technology.
Proceedings ArticleDOI
Virtual shared workspace for smart spaces and M3-based case study
TL;DR: Although the Smart-M3 platform is still a research prototype, it is shown that its existing capability is sufficient for developing certain services for practical use and is illustrated by introducing e-Tourism services for use in SmartRoom collaborative activity.
References
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Book
Introduction to Information Retrieval
TL;DR: In this article, the authors present an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections.
Journal ArticleDOI
Fab: content-based, collaborative recommendation
Marko Balabanovic,Yoav Shoham +1 more
TL;DR: It is explained how a hybrid system can incorporate the advantages of both methods while inheriting the disadvantages of neither, and how the particular design of the Fab architecture brings two additional benefits.
Journal ArticleDOI
From frequency to meaning: vector space models of semantics
Peter D. Turney,Patrick Pantel +1 more
TL;DR: The goal in this survey is to show the breadth of applications of VSMs for semantics, to provide a new perspective on VSMs, and to provide pointers into the literature for those who are less familiar with the field.
Journal ArticleDOI
Context-Aware Recommender Systems
TL;DR: An overview of the multifaceted notion of context is provided, several approaches for incorporating contextual information in recommendation process are discussed, and the usage of such approaches in several application areas where different types of contexts are exploited are illustrated.