A recommender system based on implicit feedback for selective dissemination of ebooks

ER Núñez-Valdez, D Quintana, RG Crespo, P Isasi… - Information …, 2018 - Elsevier
In this study, we describe a recommendation system for electronic books. The approach is
based on implicit feedback derived from user's interaction with electronic content. User's …

The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: An empirical investigation

Q Liu, X Zhang, L Zhang, Y Zhao - Electronic Commerce Research, 2019 - Springer
While ranking systems, electronic word of mouth (eWOM) channels and recommendation
systems might appear as three separate tools that influence consumer choice, consumers at …

[HTML][HTML] Comparative analysis of relevance feedback methods based on two user studies

S Akuma, R Iqbal, C Jayne, F Doctor - Computers in human behavior, 2016 - Elsevier
Rigorous analysis of user interest in web documents is essential for the development of
recommender systems. This paper investigates the relationship between the implicit …

IoT-Enabled RFID-Based Library Management and Automatic Book Recommendation System Using Collaborative Learning

M Andhare, K Bhangale, VS Kumbhar… - Sentiment Analysis and …, 2023 - Springer
Libraries are a valuable resource for learning. A person must acquire and retain knowledge.
However, the current library system has several disadvantages, including manual …

Personalized mobile searching approach based on combining content-based filtering and collaborative filtering

F Zhao, F Yan, H Jin, LT Yang, C Yu - IEEE Systems Journal, 2015 - ieeexplore.ieee.org
Resources in cloud computing platforms such as Amazon, Google AppEngine, and Microsoft
Azure are a natural fit to remedy the lack of local resources in mobile devices, which creates …

Effects of recommendations on message quality and community formation in online conversations

E Eryilmaz, B Thoms, Z Ahmed, KH Lee - Education and Information …, 2021 - Springer
As asynchronous online discussions gain a broader usage due to the COVID-19 epidemic,
the need for understanding of students' ideas from unstructured textual data becomes more …

Implicit feedback awareness for session based recommendation in e-commerce

R Esmeli, M Bader-El-Den, H Abdullahi… - SN Computer …, 2023 - Springer
Abstract Information overload is a challenge in e-commerce platforms. E-shoppers may have
difficulty selecting the best product from the available options. Recommender systems (RS) …

Data-driven interaction review of an ed-tech application

A Baldominos, D Quintana - Sensors, 2019 - mdpi.com
Smile and Learn is an Ed-Tech company that runs a smart library with more that 100
applications, games and interactive stories, aimed at children aged two to 10 and their …

How to develop SETS-based electronic book to improve student's science literacy with 4S TMD models?

O Lestari, S Anwar, G Priscylio… - Journal of Physics …, 2020 - iopscience.iop.org
This study aims to develop teaching materials on the rate of reaction based on Science,
Environment, Technology and society (SETS) to improve students' scientific literacy. The …

Pratiche di lettura nello spazio della biblioteca

M Vivarelli - DigitCult-Scientific Journal on Digital Cultures, 2022 - digitcult.lim.di.unimi.it
Abstract [ita] Questo articolo propone alcune considerazioni che riguardano i contesti entro i
quali si situa il progetto Reading (&) Machine, sviluppato in collaborazione tra centri …