e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers 2020

Jun 2020 - Volume 11, Issue 3
Deadline: 15 May 2020
Due to COVID-19 deadline extended to 31-May-2020
Notification: 15 Jun 2020
Publication: 30 Jun 2020

Aug 2020 - Volume 11, Issue 4
Deadline: 15 Jul 2020
Notification: 15 Aug 2020
Publication: 31 Aug 2020

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ABSTRACT

Title : DEEPAUTOENCF: A DENOISING AUTOENCODER FOR RECOMMENDER SYSTEMS
Authors : BHAKTI AHIRWADKAR, SACHIN N. DESHMUKH
Keywords : Recommender Systems; Collaborative Filtering; Content Based Collaborative Filtering; Hybrid Systems; Memory Based Approach; Model Based Approach; Deep Learning ; Autoencoders; Dropout.
Issue Date : May-Jun 2020
Abstract :
Recommender Systems are software techniques which can be used to filter out data from the volumes of data available online and provide recommendations to users in their area of interest. These techniques use information related to users and items in addition to the ratings given by users to various items or providing recommendations. In the last two decades, deep learning techniques have shown promising results in various areas of computer vision, video recognition, natural language processing etc. These techniques have been used for recommender systems in recent years and have shown improvement in performance. In this paper we propose a model, DeepAutoEnCF, that uses Denoising Autoencoder for predicting user ratings. It uses dropout for regularizing the model and adding noise to input for prediction of ratings. The model uses side information along with unique additional information for improving the performance.
Page(s) : 244-250
ISSN : 0976-5166
Source : Vol. 11, No.3
PDF : Download
DOI : 10.21817/indjcse/2020/v11i3/201103199