Facebook single and cross domain data for recommendation systems
The emergence of social networks and the vast amount of data that they contain about their
users make them a valuable source for personal information about users for recommender …
users make them a valuable source for personal information about users for recommender …
A hybrid recommender system for recommending smartphones to prospective customers
PK Biswas, S Liu - Expert Systems with Applications, 2022 - Elsevier
Recommender Systems are a subclass of machine learning systems that employ
sophisticated information filtering strategies to reduce the search time and suggest the most …
sophisticated information filtering strategies to reduce the search time and suggest the most …
Toward trust-based recommender systems for open data: A literature review
In recent years, the concept of “open data” has received increasing attention among data
providers and publishers. For some data portals in public sectors, such as data. gov, the …
providers and publishers. For some data portals in public sectors, such as data. gov, the …
Addressing the complexity of personalized, context-aware and health-aware food recommendations: an ensemble topic modelling based approach
Abstract Food Recommender Systems (FRS) have the potential to support informed and
satisfying food choices. However, to realize their full potential, FRS must engage with the …
satisfying food choices. However, to realize their full potential, FRS must engage with the …
Opinion mining using double channel cnn for recommender system
M Sayyadpour, A Nazarizadeh - ar** the user experience
Human-algorithm interaction emerges as the new frontier of studies involving interaction
design and interface ergonomics. This paper aims to discuss the effectiveness and …
design and interface ergonomics. This paper aims to discuss the effectiveness and …
Context-aware user modeling strategies for journey plan recommendation
Popular journey planning systems, like Google Maps or Yahoo! Maps, usually ignore user's
preferences and context. This paper shows how we applied context-aware recommendation …
preferences and context. This paper shows how we applied context-aware recommendation …