• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 88
Next 10 →

Intrigue: Personalized Recommendation Of Tourist Attractions For Desktop And Handset Devices

by Liliana Ardissono, Anna Goy, Giovanna Petrone, Marino Segnan, Pietro Torasso - 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 - Cited by 72 (4 self) - Add to MetaCart
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

by Marko Modsching, Ronny Kramer, Klaus Ten Hagen, Ulrike Gretzel
"... 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 - Cited by 4 (0 self) - Add to MetaCart
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

by Tsukasa Ikeda, Kayoko Yamamoto
"... 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 ..."
Abstract - Add to MetaCart
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

by Luca Console, Ilaria Torre (dipartimento Di Informatica, Università Di Torino, Roberto Montanari (centro Ricerche Fiat, Marcella Guagliumi, Maurizio Salvoni, Luca Tonelli (magneti Marelli - 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 - Cited by 3 (2 self) - Add to MetaCart
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

by Liliana Ardissono, Anna Goy, Giovanna Petrone, Marino Segnan, Pietro Torasso
"... 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 - Add to MetaCart
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

by Björn Joop, Jürgen Ziegler
"... 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 - Add to MetaCart
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

by T. Iwata
"... 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 - Add to MetaCart
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

by Wei Zeng , Li Chen
"... 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 ..."
Abstract - Add to MetaCart
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

by Kristina Lerman - 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 - Cited by 46 (11 self) - Add to MetaCart
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

by Duncan Pemberton, Tom Rodden, Rob Procter
"... 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 ..."
Abstract - Add to MetaCart
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
Next 10 →
Results 1 - 10 of 88
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University