Context Aware Recommendation Systems: A review of the state of the art techniques
S Kulkarni, SF Rodd - Computer Science Review, 2020 - Elsevier
Recommendation systems are gaining increasing popularity in many application areas like
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …
Survey on the objectives of recommender systems: Measures, solutions, evaluation methodology, and new perspectives
Recently, recommender systems have played an increasingly important role in a wide
variety of commercial applications to help users find favourite products. Research in the …
variety of commercial applications to help users find favourite products. Research in the …
Jury learning: Integrating dissenting voices into machine learning models
Whose labels should a machine learning (ML) algorithm learn to emulate? For ML tasks
ranging from online comment toxicity to misinformation detection to medical diagnosis …
ranging from online comment toxicity to misinformation detection to medical diagnosis …
[HTML][HTML] How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda
P Venkatachalam, S Ray - International Journal of Information Management …, 2022 - Elsevier
Recommender Systems (RS) help the user in the decision-making process when there is a
problem of plenty or lack of information. The context-aware recommender systems (CARS) …
problem of plenty or lack of information. The context-aware recommender systems (CARS) …
A recommendation engine for predicting movie ratings using a big data approach
In this era of big data, the amount of video content has dramatically increased with an
exponential broadening of video streaming services. Hence, it has become very strenuous …
exponential broadening of video streaming services. Hence, it has become very strenuous …
Progress in context-aware recommender systems—An overview
Recommender Systems are the set of tools and techniques to provide useful
recommendations and suggestions to the users to help them in the decision-making process …
recommendations and suggestions to the users to help them in the decision-making process …
Context-aware recommender systems: From foundations to recent developments
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce, personalization, information …
practitioners in many disciplines, including e-commerce, personalization, information …
[HTML][HTML] Hybrid recommendation by incorporating the sentiment of product reviews
Hybrid recommender systems utilize advanced algorithms capable of learning
heterogeneous sources of data and generating personalized recommendations for users …
heterogeneous sources of data and generating personalized recommendations for users …
A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies
In-text citation analysis is one of the most frequently used methods in research evaluation.
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …
Integrating contextual sentiment analysis in collaborative recommender systems
Recently. recommender systems have become a very crucial application in the online
market and e-commerce as users are often astounded by choices and preferences and they …
market and e-commerce as users are often astounded by choices and preferences and they …