[HTML][HTML] Similarity measures for Collaborative Filtering-based Recommender Systems: Review and experimental comparison

F Fkih - Journal of King Saud University-Computer and …, 2022 - Elsevier
Collaborative Filtering (CF) filters the flow of data that can be recommended, by a
Recommender System (RS), to a target user according to his taste and his preferences. The …

[HTML][HTML] Overlap in automatic root cause analysis in manufacturing: An information theory-based approach

E e Oliveira, VL Miguéis, JL Borges - Applied Sciences, 2023 - mdpi.com
Automatic Root Cause Analysis solutions aid analysts in finding problems' root causes by
using automatic data analysis. When trying to locate the root cause of a problem in a …

Understanding overlap in automatic root cause analysis in manufacturing using causal inference

EE Oliveira, VL Miguéis, JL Borges - IEEE Access, 2021 - ieeexplore.ieee.org
Overlap has been identified in previous works as a significant obstacle to automated
diagnosis using data mining algorithms, since it makes it impossible to discern how each …

Social recommendations: Mentor and leader detection to alleviate the cold-start problem in collaborative filtering

A Brun, S Castagnos, A Boyer - Social Network Mining, Analysis …, 2012 - igi-global.com
Social Recommendations: Mentor and Leader Detection to Alleviate the Cold-Start Problem in
Collaborative Filtering: Media & Communications Book Chapter | IGI Global IGI Global Get IGI …

[PDF][PDF] The evaluation of similarity metrics in collaborative filtering recommenders

S Morozov, X Zhong - Proceedings of the Hawaii University …, 2013 - huichawaii.org
Collaborative filtering recommenders predict user opinions regardless of item content.
Memory-based implementations generate recommendations on demand, without any pre …

Overlap in Automatic Root Cause Analysis in Manufacturing: An Information Theory-Based Approach.

VL Miguéis, JL Borges - Applied Sciences (2076-3417), 2023 - search.ebscohost.com
Abstract Automatic Root Cause Analysis solutions aid analysts in finding problems' root
causes by using automatic data analysis. When trying to locate the root cause of a problem …

[PDF][PDF] Text mining and rating prediction with topical user models

Y Seroussi - 2012 - scholar.archive.org
Recent years have seen a rapid growth in the amount of user-generated text published
online. These texts take many forms: from private texts such as emails and instant messages …

[PDF][PDF] Overlap in Automatic Root Cause Analysis in Manufacturing

EL de Meireles - 2021 - repositorio-aberto.up.pt
The Manufacturing sector is highly competitive, and the management of its operations can
be very complex. A critical part of managing manufacturing operations is to solve the …

[PDF][PDF] Computer and Information Sciences

F Fkih - 2021 - researchgate.net
abstract Collaborative Filtering (CF) filters the flow of data that can be recommended, by a
Recommender System (RS), to a target user according to his taste and his preferences. The …

Neighborhood Evaluation in Recommender Systems Using the Realization Based Entropy Approach

R Anuar, Y Bukchin, O Maimon… - International Journal of …, 2014 - igi-global.com
The task of a recommender system evaluation has often been addressed in the literature,
however there exists no consensus regarding the best metrics to assess its performance …