AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …
Learning (ML), recommender systems have attracted significant research attention. These …
Clustering-based recommender system using principles of voting theory
Recommender Systems (RS) are widely used for providing automatic personalized
suggestions for information, products and services. Collaborative Filtering (CF) is one of the …
suggestions for information, products and services. Collaborative Filtering (CF) is one of the …
Location-aware recommendation systems: Where we are and where we recommend to go
Recommendation systems have been successfully used to provide items of interest to the
users (eg, movies, music, books, news, images). However, traditional recommenda-tion …
users (eg, movies, music, books, news, images). However, traditional recommenda-tion …
Scalable recommendations using decomposition techniques based on Voronoi diagrams
Collaborative filtering based recommender systems typically suffer from scalability issues
when new users and items join the system at a very rapid rate. We tackle this concerning …
when new users and items join the system at a very rapid rate. We tackle this concerning …
Spatially aware recommendations using kd trees
Traditional Recommender Systems focus on recommending the most relevant items to users
without considering any contextual features, such as time or location. In this work we …
without considering any contextual features, such as time or location. In this work we …
Scalable hierarchical collaborative filtering using bsp trees
J Das, AK Aman, P Gupta, A Haider… - … Circuits and Systems …, 2015 - Springer
Collaborative Filtering (CF) technique is used by most of the Recommender Systems (RS)
for formulating suggestions of item relevant to users' interest. However, CF algorithms using …
for formulating suggestions of item relevant to users' interest. However, CF algorithms using …
Scalable hierarchical recommendations using spatial autocorrelation
Collaborative Filtering (CF) is one of the most successful and widely used approaches
behind Recommendation Algorithms. CF algorithms use the known preferences of a group …
behind Recommendation Algorithms. CF algorithms use the known preferences of a group …