Is chatgpt a good recommender? a preliminary study
Recommendation systems have witnessed significant advancements and have been widely
used over the past decades. However, most traditional recommendation methods are task …
used over the past decades. However, most traditional recommendation methods are task …
Can book covers help predict bestsellers using machine learning approaches?
As the book publishing market changes from offline to online, readers tend to purchase
books while paying more attention to book covers and metadata rather than the actual book …
books while paying more attention to book covers and metadata rather than the actual book …
A review of text-based recommendation systems
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 …
research articles, ebooks, personal blogs, and user reviews. In these websites, the textual …
Skills2Job: A recommender system that encodes job offer embeddings on graph databases
We propose a recommender system that, starting from a set of users' skills, identifies the
most suitable jobs as they emerge from a large dataset of Online Job Vacancies (OJVs). To …
most suitable jobs as they emerge from a large dataset of Online Job Vacancies (OJVs). To …
A survey on modern recommendation system based on big data
A Sun, Y Peng - arxiv e-prints, 2022 - ui.adsabs.harvard.edu
This survey provides an exhaustive exploration of the evolution and current state of
recommendation systems, which have seen widespread integration in various web …
recommendation systems, which have seen widespread integration in various web …
Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance
The aggregate behaviors of users can collectively encode deep semantic information about
the objects with which they interact. In this paper, we demonstrate novel ways in which the …
the objects with which they interact. In this paper, we demonstrate novel ways in which the …
Weave&rec: A word embedding based 3-d convolutional network for news recommendation
An effective news recommendation system should harness the historical information of the
user based on her interactions as well as the content of the articles. In this paper we propose …
user based on her interactions as well as the content of the articles. In this paper we propose …
An approach for learning resource recommendation using deep matrix factorization
In traditional learning, learners and their lecturers, or tutors can meet face-to-face. In such
lectures, the lecturers, or tutors can introduce printed book tutorials. However, in several …
lectures, the lecturers, or tutors can introduce printed book tutorials. However, in several …
Temporally Dynamic Session-Keyword Aware Sequential Recommendation system
Addressing the dynamic preferences and needs of users to provide highly personalized
recommendations is a fundamental challenge in recommender systems. To tackle this …
recommendations is a fundamental challenge in recommender systems. To tackle this …
Egyptian student sentiment analysis using Word2vec during the coronavirus (Covid-19) pandemic
L Mostafa - Proceedings of the International Conference on …, 2021 - Springer
Education field is affected by the COVID-19 pandemic which also affects how universities,
schools, companies and communities function. One area that has been significantly affected …
schools, companies and communities function. One area that has been significantly affected …