Conceptual Modeling of Context based Recommendation System
نویسندگان
چکیده
منابع مشابه
Design and implementation of a WEBGIS-based recommendation system based on context-awareness for tourism planning
Today, tourism is one of the most lucrative industries in the world. Due to the large amount of information that exists about the points of Interest (POI) of a city, the tourist is faced with an overload of information. As a result, a recommending system is needed to recommend suitable tourist places to the tourist in the shortest time. In order to offer a better offer, the interests and contex...
متن کاملRecommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+)
Within an enterprise, various stakeholders create different conceptual models, such as process, data, and requirements models. These models are fundamentally based on similar underlying enterprise (domain) concepts, but they differ in focus, use different modelling languages, take different viewpoints, utilize different terminology, and are used to develop different enterprise artefacts; as suc...
متن کاملContext-aware Mobile Recommendation System Based on Context History
Recommendation systems for the mobile Web have focused on endorsing specificr content based on user preferences. But, user preferences vary in different contexts, such as at different times of day and in different locations. Therefore, in a mobile networking setting, providing proactive personalized service is more likely to depend on actual user context. This paper proposed a context-aware mob...
متن کاملContext Aware Citation Recommendation System
This paper present a machine learning method for generating citation recommendations within research papers, articles, and other technical documents. This is potentially useful for authors who include some statement of fact within their work and go back only later to provide appropriate citation for such content. To facilitate this, we phrase this problem as an instance of multi-class learning ...
متن کاملDevelopment of Context Based Collaborative Filtering System for Recommendation
Recommender systems suggest items to users by utilizing the techniques of Collaborative filtering based on historical records of items that users have purchased. Recommender systems make use of data mining techniques to determine the similarity among a huge collection of data items, by analysing historical user data and then extracting hidden useful information or patterns. Goal of Collaborativ...
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: International Journal of Computer Applications
سال: 2018
ISSN: 0975-8887
DOI: 10.5120/ijca2018916246