[HTML][HTML] A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
Recommender systems have significantly developed in recent years in parallel with the
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …
[HTML][HTML] A survey of research hotspots and frontier trends of recommendation systems from the perspective of knowledge graph
B Shao, X Li, G Bian - Expert Systems with Applications, 2021 - Elsevier
With the advent of the era of big data, the recommendation system has become an effective
solution to the problem of information overload. This paper takes the literature data related to …
solution to the problem of information overload. This paper takes the literature data related to …
DNNRec: A novel deep learning based hybrid recommender system
We propose a novel deep learning hybrid recommender system to address the gaps in
Collaborative Filtering systems and achieve the state-of-the-art predictive accuracy using …
Collaborative Filtering systems and achieve the state-of-the-art predictive accuracy using …
Survey of similarity functions on neighborhood-based collaborative filtering
Today, recommender systems play a vital role in the acceleration of searches by internet
users to find what they are interested in. Among the strategies proposed for recommender …
users to find what they are interested in. Among the strategies proposed for recommender …
A novel and comprehensive trust estimation clustering based approach for large scale wireless sensor networks
With the wide applications of wireless sensor networks (WSNs) in various fields, such as
environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust …
environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust …
A hybrid recommendation system based on profile expansion technique to alleviate cold start problem
Recommender systems are one of the information filtering tools which can be employed to
find interest items of users. Collaborative filtering is one of the recommendation methods to …
find interest items of users. Collaborative filtering is one of the recommendation methods to …
Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review
Cold Start problems in recommender systems pose various challenges in the adoption and
use of recommender systems, especially for new item uptake and new user engagement …
use of recommender systems, especially for new item uptake and new user engagement …
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 …
New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests
The aim of recommender systems is to provide users with items that could be of their
interest. However one of the biggest drawbacks from recommender systems is the so called …
interest. However one of the biggest drawbacks from recommender systems is the so called …
Alleviating the new user problem in collaborative filtering by exploiting personality information
The new user problem in recommender systems is still challenging, and there is not yet a
unique solution that can be applied in any domain or situation. In this paper we analyze …
unique solution that can be applied in any domain or situation. In this paper we analyze …