Coresets for clustering with fairness constraints
L Huang, S Jiang, N Vishnoi - Advances in neural …, 2019 - proceedings.neurips.cc
In a recent work,\cite {chierichetti2017fair} studied the following``fair''variants of classical
clustering problems such as k-means and k-median: given a set of n data points in R^ d and …
clustering problems such as k-means and k-median: given a set of n data points in R^ d and …
Community detection in social recommender systems: a survey
Abstract Information extracted from social network services promise to improve the accuracy
of recommender systems in various domains. Against this background, community detection …
of recommender systems in various domains. Against this background, community detection …
State of art and emerging trends on group recommender system: a comprehensive review
A group recommender system (GRS) generates suggestions for a group of individuals,
considering not only each person's preferences but also factors such as social dynamics …
considering not only each person's preferences but also factors such as social dynamics …
Clustering by orthogonal NMF model and non-convex penalty optimization
The non-negative matrix factorization (NMF) model with an additional orthogonality
constraint on one of the factor matrices, called the orthogonal NMF (ONMF), has been found …
constraint on one of the factor matrices, called the orthogonal NMF (ONMF), has been found …
Comprehensive movie recommendation system
A recommender system, also known as a recommendation system, is a type of information
filtering system that attempts to forecast a user's rating or preference for an item. This article …
filtering system that attempts to forecast a user's rating or preference for an item. This article …
An effective recommender system based on personality traits, demographics and behavior of customers in time context
S Khodabandehlou… - Data Technologies …, 2021 - emerald.com
Purpose Improving the performance of recommender systems (RSs) has always been a
major challenge in the area of e-commerce because the systems face issues such as cold …
major challenge in the area of e-commerce because the systems face issues such as cold …
Social emotion classification of Japanese text information based on SVM and KNN
Q Zhao - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
How to model multi-modal data and rich context information under the same model
framework has become the key to user sentiment analysis in social media. This research …
framework has become the key to user sentiment analysis in social media. This research …
Assessing the impact of the density and sparsity of the network on community detection using a Gaussian mixture random partition graph generator
A Wickramasinghe, S Muthukumarana - International Journal of …, 2022 - Springer
Identification of sub-networks within a network is essential to understand the functionality of
a network. This process is called as' Community detection'. There are various existing …
a network. This process is called as' Community detection'. There are various existing …
Performance comparison of rank aggregation using borda and copeland in recommender system
The rapid development of e-commerce will certainly be followed by an increasing number
and more varied marketed products, making it confusing and time-consuming for users to …
and more varied marketed products, making it confusing and time-consuming for users to …
Predicting l-CrossSold products using connected components: A clustering-based recommendation system
Recommender systems (RSs) are an integral part of the online retail industry. They create
tremendous potentials for cross-selling, including increasing sales revenue, improving …
tremendous potentials for cross-selling, including increasing sales revenue, improving …