A review of text-based recommendation systems

S Kanwal, S Nawaz, MK Malik, Z Nawaz - IEEE Access, 2021 - ieeexplore.ieee.org
Many websites over the Internet are producing a variety of textual data; such as news,
research articles, ebooks, personal blogs, and user reviews. In these websites, the textual …

Review of ontology-based recommender systems in e-learning

G George, AM Lal - Computers & Education, 2019 - Elsevier
In recent years there has been an enormous increase in learning resources available online
through massive open online courses and learning management systems. In this context …

A hybrid probabilistic multiobjective evolutionary algorithm for commercial recommendation systems

G Wei, Q Wu, M Zhou - IEEE Transactions on Computational …, 2021 - ieeexplore.ieee.org
As big-data-driven complex systems, commercial recommendation systems (RSs) have
been widely used in such companies as Amazon and Ebay. Their core aim is to maximize …

A comparative overview of hybrid recommender systems: Review, challenges, and prospects

R Seth, A Sharaff - Data mining and machine learning …, 2022 - Wiley Online Library
Recommender System (RS) helps to find the items according to user interest and provides
various suggestions that help in the decision‐making process. These suggestions depend …

User profile correlation-based similarity (UPCSim) algorithm in movie recommendation system

T Widiyaningtyas, I Hidayah, TB Adji - Journal of Big Data, 2021 - Springer
Collaborative filtering is one of the most widely used recommendation system approaches.
One issue in collaborative filtering is how to use a similarity algorithm to increase the …

An edge intelligence empowered recommender system enabling cultural heritage applications

X Su, G Sperlì, V Moscato, A Picariello… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Recommender systems are increasingly playing an important role in our life, enabling users
to find “what they need” within large data collections and supporting a variety of applications …

An integrated recommender system for improved accuracy and aggregate diversity

S Bag, A Ghadge, MK Tiwari - Computers & Industrial Engineering, 2019 - Elsevier
Abstract Information explosion creates dilemma in finding preferred products from the digital
marketplaces. Thus, it is challenging for online companies to develop an efficient …

Deep learning-enhanced framework for performance evaluation of a recommending interface with varied recommendation position and intensity based on eye …

P Sulikowski, T Zdziebko - Electronics, 2020 - mdpi.com
The increasing amount of marketing content in e-commerce websites results in the limited
attention of users. For recommender systems, the way recommended items are presented …

Item feature refinement using matrix factorization and boosted learning based user profile generation for content-based recommender systems

A Pujahari, DS Sisodia - Expert Systems with Applications, 2022 - Elsevier
A content-based recommender system uses essential item features that play a crucial role in
building quality user preference profiles. However, in most real-world datasets, the item …

User preferences modeling using dirichlet process mixture model for a content-based recommender system

BR Cami, H Hassanpour, H Mashayekhi - Knowledge-Based Systems, 2019 - Elsevier
Recommender systems have been developed to assist users in retrieving relevant
resources. Collaborative and content-based filtering are two basic approaches that are used …