Proceedings of the 1st ACM International Workshop on Complex Networks Meet Information &Amp; Knowledge Management 2009
DOI: 10.1145/1651274.1651290
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A mobile tourist assistance and recommendation system based on complex networks

Abstract: In recent years, the tourism assistance community is gradually shifting its emphasis to digital, interactive systems. Our project aims for digital tourism assistance by combining mobile guiding and route recommendation based on community networks. We use complex networks to tackle problems, such as deriving optimal routes in conjunction with knowledge deduced from our social tourist network, and giving a respectable prediction of which meta-and multimedia data about touristic objects are needed while the touri… Show more

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Cited by 14 publications
(7 citation statements)
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“…In [40], the bipartite graph model is used to describe the relationship between customers and products, which improves the recommendation quality of the spreading activation algorithm to a certain extent. A Complex network is used to implement digital tourism assistance, which can recommend optimal routes and provide mobile guidance to the users in [41]. [42] use the standard complex network technology in the sample of social musician network and developed a derived complex network by confirming attribute similarity.…”
Section: Complex Network Recommender Systemsmentioning
confidence: 99%
“…In [40], the bipartite graph model is used to describe the relationship between customers and products, which improves the recommendation quality of the spreading activation algorithm to a certain extent. A Complex network is used to implement digital tourism assistance, which can recommend optimal routes and provide mobile guidance to the users in [41]. [42] use the standard complex network technology in the sample of social musician network and developed a derived complex network by confirming attribute similarity.…”
Section: Complex Network Recommender Systemsmentioning
confidence: 99%
“…The Context-Aware Recommender System feeds on information such as the location of the user, Identity of people the around, the date, the season, the temperature, and other related data to make recommendations. This technique is seen to be more precise and accurate [5]. For example, watching a movie: time, location, companion, emotions, occasion.…”
Section: Context-awarementioning
confidence: 99%
“…A Recommendation System is an intelligent system that is capable of suggesting items of interest to a person based on an underlining algorithm that learns from data [2]- [5]. Recommender systems are utilized in a variety of areas including movies, games, music, news, books, dating sites, research articles, social tags, and other kinds of products.…”
Section: Introductionmentioning
confidence: 99%
“…In these experiences there are various points of interest (POI) for tourists that are connected to, or anchored to, digital content. Such systems may provide other forms of context-aware interaction [19] such as personalization of information based on previous places visited by the tourists, or other attributes such as what content people are interested in [24], [25], [26].…”
Section: Introductionmentioning
confidence: 99%