Location-based Orientation Context Dependent Recommender System for Users
نویسندگان
چکیده
منابع مشابه
Ubiquitous Crowdsourcing Model for Location Recommender System
Crowdsourcing is methodology in which task is completed by distributing it amongst the crowd. The objective of proposed work is to generate recommendation of places close to tourist’s current location using crowdsourcing approach. Technological advances in WWW and the mobile devices have opened the possibilities of gathering and sharing the required information from people moving around. Contex...
متن کاملCOReS: Context-aware, Ontology-based Recommender system for Service recommendation
Advances in telecommunications and information technology have allowed the proliferation of mobile and multifunctional devices and their incorporation more and more into physical objects, making new information and services available. A consequent problem of this new scenario is information overload, i.e. users face vast and distributed information sources, and have difficulty in selecting thos...
متن کاملUsing a Rich Context Model for a News Recommender System for Mobile Users
Recommender systems have become an important application domain related to the development of personalized mobile services. Thus, various recommender mechanisms have been developed for filtering and delivering relevant information to mobile users. This paper presents a rich context model to provide the relevant content of news to the current context of mobile users. The proposed rich context mo...
متن کاملLocation-dependent services for mobile users
One of the main issues in mobile services’ research (M-service) is supporting M-service availability, regardless of the user’s context (physical location, device employed, etc.). However, most scenarios also require the enforcement of context-awareness, to dynamically adapt M-services depending on the context in which they are requested. In this paper, we focus on the problem of adapting M-serv...
متن کاملLearning Users' Interests in a Market-Based Recommender System
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique is best for all users in all situations. To combat this, we have previously developed a market-based recommender system that allows multiple agents (each representing a different recommendation method or system) to com...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Trends in Computer Science and Smart Technology
سال: 2021
ISSN: 2582-4104
DOI: 10.36548/jtcsst.2021.1.002