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   Articles with "aware recommender" as a keyword



An equity aware recommender system for university admissions balancing operational constraints and strategic objectives

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-23116-6

Abstract: Institutions of higher education must balance multiple, often conflicting objectives when setting admission targets for their academic programs. In this paper, we introduce a recommendation system that integrates Constraint Satisfaction Problem (CSP) techniques, goal programming,… read more here.

Keywords: system; recommender system; equity aware; aware recommender ... See more keywords

Improvement of a location-aware recommender system using volunteered geographic information

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recommendations! Published in 2019 at "Geocarto International"

DOI: 10.1080/10106049.2018.1493155

Abstract: Abstract Recommender systems (RS), as supportive tools, filter information from a massive amount of data based on the determined preferences. Most of the RS require information about the context of users such as their locations.… read more here.

Keywords: location aware; information; aware recommender; volunteered geographic ... See more keywords

A novel framework to alleviate the sparsity problem in context-aware recommender systems

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recommendations! Published in 2017 at "New Review of Hypermedia and Multimedia"

DOI: 10.1080/13614568.2016.1152319

Abstract: ABSTRACT Recommender systems have become indispensable for services in the era of big data. To improve accuracy and satisfaction, context-aware recommender systems (CARSs) attempt to incorporate contextual information into recommendations. Typically, valid and influential contexts… read more here.

Keywords: context; aware recommender; recommender systems; context aware ... See more keywords

MCARS-CC: A Salable Multicontext-Aware Recommender System

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recommendations! Published in 2024 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2022.3223516

Abstract: Context-aware recommendation systems (CARSs) leverage contextual information, e.g., time, location, or mood, to generate more personalized recommendations with high accuracy; however, existing CARSs fall short in: 1) handling the high sparsity of data; 2) designing… read more here.

Keywords: recommender system; time; aware recommender; multicontext aware ... See more keywords

Optimized Trust-Aware Recommender System using Genetic Algorithm

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recommendations! Published in 2017 at "Neural Network World"

DOI: 10.14311/nnw.2017.27.004

Abstract: Trust-aware recommender system (TARS) recommends ratings based on user trust. It greatly improves the conventional collaborative filtering by providing reliable recommendations when dealing with the data sparseness problem. One basic research issue of TARS is… read more here.

Keywords: trust aware; aware recommender; recommender; recommender system ... See more keywords