Context-aware recommender systems in mobile environment: On the road of future research
Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …
owing to the technological progress in mobile devices, such as smartphones and tablets, as …
Systematic review of contextual suggestion and recommendation systems for sustainable e-tourism
Agenda 2030 of Sustainable Development Goals (SDGs) 9 and 11 recognizes tourism as
one of the central industries to global development to tackle global challenges. With the …
one of the central industries to global development to tackle global challenges. With the …
Personalized recommender system based on friendship strength in social network services
The rapid growth of social network services has produced a considerable amount of data,
called big social data. Big social data are helpful for improving personalized recommender …
called big social data. Big social data are helpful for improving personalized recommender …
Annotating mobile phone location data with activity purposes using machine learning algorithms
Individual human travel patterns captured by mobile phone data have been quantitatively
characterized by mathematical models, but the underlying activities which initiate the …
characterized by mathematical models, but the underlying activities which initiate the …
The added value of Facebook friends data in event attendance prediction
This paper seeks to assess the added value of a Facebook user's friends data in event
attendance prediction over and above user data. For this purpose we gathered data of users …
attendance prediction over and above user data. For this purpose we gathered data of users …
Mymoviehistory: social recommender system by discovering social affinities among users
Social network information has recently been used for the improvement of the performances
of recommender systems with regard to both individual users and groups. During the …
of recommender systems with regard to both individual users and groups. During the …
Collective intelligence as mechanism of medical diagnosis: The iPixel approach
Y Pérez-Gallardo, G Alor-Hernández… - Expert systems with …, 2013 - Elsevier
Collective intelligence (CI) is an active field of research, which capitalizes the knowledge of
human collectives in order to create, to innovate and to invent. There are two important …
human collectives in order to create, to innovate and to invent. There are two important …
Recommending nearby strangers instantly based on similar check-in behaviors
Chatting with nearby interested strangers instantly in location-based mobile social network
(LMSN) has become increasingly popular. Currently, friend recommendation relies only on …
(LMSN) has become increasingly popular. Currently, friend recommendation relies only on …
Data mining-based recommendation system using social networks—an analytical study
In the current age, social media is commonly used and shares enormous data. However, a
huge amount of data makes it difficult to deal with. It requires a lot of storage and processing …
huge amount of data makes it difficult to deal with. It requires a lot of storage and processing …