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88
Intrigue: Personalized Recommendation Of Tourist Attractions For Desktop And Handset Devices
- Applied Artificial Intelligence
, 2003
"... This paper presents INTRIGUE, a prototype tourist information server that presents information about the area around Torino city, on desktop and handset devices. This system recommends sightseeing destinations and itineraries by taking into account the preferences of heterogeneous tourist groups ..."
Abstract
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Cited by 72 (4 self)
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This paper presents INTRIGUE, a prototype tourist information server that presents information about the area around Torino city, on desktop and handset devices. This system recommends sightseeing destinations and itineraries by taking into account the preferences of heterogeneous tourist groups
Effectiveness of Mobile Recommender Systems for Tourist Destinations: A User Evaluation
"... Mobile recommender systems have the potential to substantially enrich tourist experiences. As their handling marks a big challenge for ordinary users, its acceptance can only be evaluated when utilized by the intended user group itself- real tourists. In a field trial in Görlitz (Germany), 421 touri ..."
Abstract
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Cited by 4 (0 self)
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Mobile recommender systems have the potential to substantially enrich tourist experiences. As their handling marks a big challenge for ordinary users, its acceptance can only be evaluated when utilized by the intended user group itself- real tourists. In a field trial in Görlitz (Germany), 421
Development of Social Recommendation GIS for Tourist Spots
"... Abstract—This study aims to develop a social recommendation media GIS (Geographic Information Systems) specially tailored to recommend tourist spots. The conclusions of this study are summarized in the following three points. (1) Social media GIS, an information system which integrates Web-GIS, SNS ..."
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Abstract—This study aims to develop a social recommendation media GIS (Geographic Information Systems) specially tailored to recommend tourist spots. The conclusions of this study are summarized in the following three points. (1) Social media GIS, an information system which integrates Web-GIS, SNS
MASTROcarONTE, a Multiagent Adaptive System for Tourist Recommendations Onboard the car
- which Observes the Needs and Tailors the Helps, In Proc. IJCAI Workshop on Airtificial Intelligence in Mobile Systems, AAAI
, 2001
"... As explained by the acronym, MASTROcarONTE is a multiagent system which provides a car driver with personalized tourist information. The system identifies the user and tailors information according to her model and to the contextual conditions. This paper sketches the architecture of the system and ..."
Abstract
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Cited by 3 (2 self)
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As explained by the acronym, MASTROcarONTE is a multiagent system which provides a car driver with personalized tourist information. The system identifies the user and tailors information according to her model and to the contextual conditions. This paper sketches the architecture of the system
Submitted for Publication in {APPLIED ARTIFICIAL INTELLIGENCE: Special Issue on Artificial Intelligence for Cultural Heritage and Digital Libraries}. Prepared with the T&F Journal Template. INTRIGUE: PERSONALIZED RECOMMENDATION OF TOURIST ATTRACTIONS FOR
"... This paper presents INTRIGUE, a prototype tourist information server that presents information about the area around Torino city, on desktop and handset devices. This system recommends sightseeing destinations and itineraries by taking into account the preferences of heterogeneous tourist groups (su ..."
Abstract
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This paper presents INTRIGUE, a prototype tourist information server that presents information about the area around Torino city, on desktop and handset devices. This system recommends sightseeing destinations and itineraries by taking into account the preferences of heterogeneous tourist groups
Group context-based adaptations for recommendation
"... In groupware or community based applications the user interface is usually static or tailored to the individual user’s needs. Newer developments try to adapt the user interface automatically in regard to user contexts. Even though these techniques are proven useful, there exists no contextadaptive s ..."
Abstract
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In groupware or community based applications the user interface is usually static or tailored to the individual user’s needs. Newer developments try to adapt the user interface automatically in regard to user contexts. Even though these techniques are proven useful, there exists no contextadaptive
Probabilistic user behavior models in online stores for recommender systems
"... Recommender systems are widely used in online stores because they are expected to improve both user convenience and online store profit. As such, a number of recommendation methods have been proposed in recent years. Functions required for recommender systems vary significantly depending on busines ..."
Abstract
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behavior models for use in online stores to tailor recommender systems to diverse requirements efficiently using various kinds of user behavior information. The probabilistic model-based approach allows us to systematically integrate heterogeneous user behavior information using rules of the probability
Heterogeneous Data Fusion via Matrix Factorization for Augmenting Item, Group and Friend Recommendations
"... ABSTRACT Up to now, more and more social media sites have started to allow their users to build the social relationships. Take the Last.fm for example (which is a popular music-sharing site), users can not only add each other as friends, but also join interest groups that include people with common ..."
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propose a generalized framework that provides three different types of recommendation in a single system: recommending items, recommending groups and recommending friends. For each type of recommendation, we in depth investigated the algorithm impact of fusing other two information resources (e.g., user
Social networks and social information filtering on digg
- In submitted to International Conference on Weblogs and Social
, 2006
"... The new social media sites — blogs, wikis, Flickr and Digg, among others — underscore the transformation of the Web to a participatory medium in which users are actively creating, evaluating and distributing information. Digg is a social news aggregator which allows users to submit links to, vote on ..."
Abstract
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Cited by 46 (11 self)
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to Digg’s front page, potentially leading to “tyranny of the minority” situation where a disproportionate number of front page stories comes from the same small group of interconnected users. Despite this, social filtering is a promising new technology that can be used to personalize and tailor
6th ERCIM Workshop "User Interfaces for All" Long Paper GroupMark: A WWW Recommender System Combining Collaborative and Information Filtering
"... Abstract. The objective of the SELECT project is to help Internet users find the most reliable, valuable, important and interesting information quickly and easily, hence reducing information overload. In these ways, SELECT will make a positive contribution to the problem of helping users tailor thei ..."
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Abstract. The objective of the SELECT project is to help Internet users find the most reliable, valuable, important and interesting information quickly and easily, hence reducing information overload. In these ways, SELECT will make a positive contribution to the problem of helping users tailor
Results 1 - 10
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88
