A recommender system based on implicit feedback for selective dissemination of ebooks
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 …
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
While ranking systems, electronic word of mouth (eWOM) channels and recommendation
systems might appear as three separate tools that influence consumer choice, consumers at …
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
Rigorous analysis of user interest in web documents is essential for the development of
recommender systems. This paper investigates the relationship between the implicit …
recommender systems. This paper investigates the relationship between the implicit …
IoT-Enabled RFID-Based Library Management and Automatic Book Recommendation System Using Collaborative Learning
Libraries are a valuable resource for learning. A person must acquire and retain knowledge.
However, the current library system has several disadvantages, including manual …
However, the current library system has several disadvantages, including manual …
Personalized mobile searching approach based on combining content-based filtering and collaborative filtering
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 …
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
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 …
the need for understanding of students' ideas from unstructured textual data becomes more …
Implicit feedback awareness for session based recommendation in e-commerce
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) …
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 …
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?
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 …
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 …
quali si situa il progetto Reading (&) Machine, sviluppato in collaborazione tra centri …