A survey of recommendation systems
Today's internet is able to discover almost any product or piece of information. The large
amounts of unfiltered information returned by an internet query calls for filters able to …
amounts of unfiltered information returned by an internet query calls for filters able to …
Situational Data Integration in Question Answering systems: a survey over two decades
MH Franciscatto, LC Erpen de Bona, C Trois… - … and Information Systems, 2024 - Springer
Question Answering (QA) systems provide accurate answers to questions; however, they
lack the ability to consolidate data from multiple sources, making it difficult to manage …
lack the ability to consolidate data from multiple sources, making it difficult to manage …
Recommending research articles: a multi-level chronological learning-based approach using unsupervised keyphrase extraction and lexical similarity calculation
A research article recommendation approach aims to recommend appropriate research
articles to analogous researchers to help them better grasp a new topic in a particular …
articles to analogous researchers to help them better grasp a new topic in a particular …
Optimal feature selection for the detection of autonomic dysreflexia in individuals with tetraplegia
S Suresh, BS Duerstock - 2018 IEEE International Symposium …, 2018 - ieeexplore.ieee.org
Autonomic dysreflexia (AD) is a common post-secondary health condition in individuals with
spinal cord injuries. Common symptoms include severe headaches, sweating above the …
spinal cord injuries. Common symptoms include severe headaches, sweating above the …
Utilizing imbalanced data and classification cost matrix to predict movie preferences
H Wang - arXiv preprint arXiv:1812.02529, 2018 - arxiv.org
In this paper, we propose a movie genre recommendation system based on imbalanced
survey data and unequal classification costs for small and medium-sized enterprises (SMEs) …
survey data and unequal classification costs for small and medium-sized enterprises (SMEs) …
Detection of Dysautonomia in Spinal Cord Injury Through Non-invasive Multi-modal Sensing and Machine Learning
S Suresh - 2020 - search.proquest.com
Dysautonomia is the dysfunction of the Autonomic Nervous System (ANS) that frequently
occurs in individuals with spinal cord injuries (SCI), stroke, diabetes, or Parkinson's disease …
occurs in individuals with spinal cord injuries (SCI), stroke, diabetes, or Parkinson's disease …
[PDF][PDF] Recommending Research Articles: A Multi-Level Chronological Learning-Based Approach using Unsupervised Keyphrase Extraction and Lexical Similarity …
N HUSEN - academia.edu
ABSTRACT A research article recommendation approach aims to recommend appropriate
research articles to analogous researchers to help them better grasp a new topic in a …
research articles to analogous researchers to help them better grasp a new topic in a …
Using Machine Learning for Incremental Aggregation of Collaborative Rankings
KS Mehta - 2021 - search.proquest.com
Untitled Page 1 Page 2 Using Machine Learning for Incremental Aggregation of
Collaborative Rankings A thesis submitted by Khushang Samir Mehta in partial fulfillment of …
Collaborative Rankings A thesis submitted by Khushang Samir Mehta in partial fulfillment of …