... This way the user can be assisted Page 4. ... either being through simulating the tour and pr... more ... This way the user can be assisted Page 4. ... either being through simulating the tour and presenting reports or by allowing the tourist to previously see the tour points of ... The slight change in the point of interest structure and the virtual representation might be rendered obsolete. ...
With rapid development of the mobile commerce, exploring new applications and services for mobile... more With rapid development of the mobile commerce, exploring new applications and services for mobile environments has become a hot topic. In this paper we propose a location-aware recommender system for tourism mobile commerce service platform. Specifically, we integrate GPS into the recommender system to create a location-aware recommender system. The location-aware recommender system can recommend attractions to the customer with the customer's rating of attractions and the customer's sensitivity to location. We present the constructed approaches in this paper.
Applications that deliver multimedia content to and display such content on mobile devices have b... more Applications that deliver multimedia content to and display such content on mobile devices have become increasingly common in recent years. When faced with a large amount of content, unfamiliar users can make use of each otherspsila recommendations, through recommender systems, to find content of interest to them. As a case in point we present the design of a recommender system that can be used by tourists to request a travel itinerary, and subsequently browse multimedia content for each recommended tourist spot. The techniques combined in our recommender system include genetic algorithms and fuzzy logic. Recommendations are chosen to match a user profile based on a userpsilas personal preferences. Our system design has wide applicability in multimedia systems where the user requires assistance in content selection.
Tourism recommender systems match the user preferences against the huge diversity of tourist reso... more Tourism recommender systems match the user preferences against the huge diversity of tourist resources, helping to decide where to go and what to do. Current approaches require the users to initialize their profiles by expressing their interests accurately, which is a very tedious process. We propose a system that automatically infers the users' preferences from their TV viewing histories, i.e., the tourism attractions the users will appreciate are selected by considering the TV contents they watched in the past. To this aim, we have developed a semantics-based filtering strategy that considers both the users' preferences and the interests of like-minded individuals. The resulting recommendations shape a tailor-made travel plan the users can access via domestic and mobile consumer devices.
Mobile tourist guides have been in the spotlight during the past decade resulting in many prototy... more Mobile tourist guides have been in the spotlight during the past decade resulting in many prototypes, either full-fledged standalone mobile applications or web-based applications. Particular emphasis has been given to personalisation of services, typically based on travel recommender systems used to assist tourists in choosing places to visit; these systems address an important aspect of personalization and hence reduce the information burden for the user. However, existing systems fail to exploit information, behaviors, ideas, evaluations, assessments, ratings, etc, by other tourists with similar interests, which provide ground for the cooperative production of tourist content and travel recommendations. In this paper we extend this notion of travel recommender systems utilizing collaborative filtering techniques for deriving improved recommendations. We also propose the use of Wireless Sensor Network (WSN) installations around tourist sites for providing mobile users convenient and inexpensive means for uploading tourist information and ratings about Points of Interest (POI) via their mobile devices. User ratings uploaded through WSN infrastructures are weighted higher to differentiate between users that rate POIs using the mobile tourist guide application in direct proximity of the POI and others using the Internet away from the POI.
Glq-a Journal of Lesbian and Gay Studies, Jan 1, 2002
W hile I was in Trinidad and Tobago in February 1998, a curious incident set off a series of conv... more W hile I was in Trinidad and Tobago in February 1998, a curious incident set off a series of conversations about the often tense relationships between the inter-ests and effects of globalization and postcolonial gay and lesbian identities. After the Cayman Islands, a British territory, had refused ...
... This way the user can be assisted Page 4. ... either being through simulating the tour and pr... more ... This way the user can be assisted Page 4. ... either being through simulating the tour and presenting reports or by allowing the tourist to previously see the tour points of ... The slight change in the point of interest structure and the virtual representation might be rendered obsolete. ...
With rapid development of the mobile commerce, exploring new applications and services for mobile... more With rapid development of the mobile commerce, exploring new applications and services for mobile environments has become a hot topic. In this paper we propose a location-aware recommender system for tourism mobile commerce service platform. Specifically, we integrate GPS into the recommender system to create a location-aware recommender system. The location-aware recommender system can recommend attractions to the customer with the customer's rating of attractions and the customer's sensitivity to location. We present the constructed approaches in this paper.
Applications that deliver multimedia content to and display such content on mobile devices have b... more Applications that deliver multimedia content to and display such content on mobile devices have become increasingly common in recent years. When faced with a large amount of content, unfamiliar users can make use of each otherspsila recommendations, through recommender systems, to find content of interest to them. As a case in point we present the design of a recommender system that can be used by tourists to request a travel itinerary, and subsequently browse multimedia content for each recommended tourist spot. The techniques combined in our recommender system include genetic algorithms and fuzzy logic. Recommendations are chosen to match a user profile based on a userpsilas personal preferences. Our system design has wide applicability in multimedia systems where the user requires assistance in content selection.
Tourism recommender systems match the user preferences against the huge diversity of tourist reso... more Tourism recommender systems match the user preferences against the huge diversity of tourist resources, helping to decide where to go and what to do. Current approaches require the users to initialize their profiles by expressing their interests accurately, which is a very tedious process. We propose a system that automatically infers the users' preferences from their TV viewing histories, i.e., the tourism attractions the users will appreciate are selected by considering the TV contents they watched in the past. To this aim, we have developed a semantics-based filtering strategy that considers both the users' preferences and the interests of like-minded individuals. The resulting recommendations shape a tailor-made travel plan the users can access via domestic and mobile consumer devices.
Mobile tourist guides have been in the spotlight during the past decade resulting in many prototy... more Mobile tourist guides have been in the spotlight during the past decade resulting in many prototypes, either full-fledged standalone mobile applications or web-based applications. Particular emphasis has been given to personalisation of services, typically based on travel recommender systems used to assist tourists in choosing places to visit; these systems address an important aspect of personalization and hence reduce the information burden for the user. However, existing systems fail to exploit information, behaviors, ideas, evaluations, assessments, ratings, etc, by other tourists with similar interests, which provide ground for the cooperative production of tourist content and travel recommendations. In this paper we extend this notion of travel recommender systems utilizing collaborative filtering techniques for deriving improved recommendations. We also propose the use of Wireless Sensor Network (WSN) installations around tourist sites for providing mobile users convenient and inexpensive means for uploading tourist information and ratings about Points of Interest (POI) via their mobile devices. User ratings uploaded through WSN infrastructures are weighted higher to differentiate between users that rate POIs using the mobile tourist guide application in direct proximity of the POI and others using the Internet away from the POI.
Glq-a Journal of Lesbian and Gay Studies, Jan 1, 2002
W hile I was in Trinidad and Tobago in February 1998, a curious incident set off a series of conv... more W hile I was in Trinidad and Tobago in February 1998, a curious incident set off a series of conversations about the often tense relationships between the inter-ests and effects of globalization and postcolonial gay and lesbian identities. After the Cayman Islands, a British territory, had refused ...
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