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RECOMMENDATION SYSTEMS: A REVIEW REPORT

Kunika Arora
2017 International Journal of Advanced Research in Computer Science  
So, recommendation system is used to resolve this problem. Recommendation system filters out the information fragment according to user behaviour or interest.  ...  This paper explores many recommendation techniques and compares their characteristics, strength and weaknesses to enhance the execution of the recommendation system.  ...  Collaborative filtering (CF) is a technique commonly used to build personalized recommendations on the Web [15] .  ... 
doi:10.26483/ijarcs.v8i7.4308 fatcat:674hj42fjjatrdv4xg2cc2fkba

Survey on Item Based and User Based Recommendation System in Cloud

2016 International Journal of Science and Research (IJSR)  
In this paper we describe the recommendation system related research and then introduce various techniques and approaches used by the recommender system Userbased approach, Item based approach, Hybrid  ...  recommendation approaches and related research in the recommender system.  ...  Recommender systems work from a specific type of information filtering system technique that attempts to recommend information items (movies, TV program/show/episode, video on demand, music, books, news  ... 
doi:10.21275/v5i4.nov162852 fatcat:ecbm6i3yjfachjl5lcnscsldae

Book Recommendation System using Matrix Factorization

K. Venkata Ruchitha
2021 International Journal for Research in Applied Science and Engineering Technology  
By victimisation filtering strategies for pre-processing the information, recommendations area unit provided either through collaborative filtering or through content-based Filtering.  ...  This recommender system recommends books supported the description and features. It identifies the similarity between the books supported its description.  ...  The methodology used for our project is matrix factorization under collaborative filtering. A. Collaborative Filtering The usual technique analyzes the character of every item.  ... 
doi:10.22214/ijraset.2021.36025 fatcat:prj7lnn6tzclzhrkzt4ualrgmi

Improvised Collaborative Filtering for Recommendation System

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Collaborative filtering (CF) is one of the most important techniques of recommendation system and has been utilized by many e-commerce businesses to provide recommendation to its users.  ...  The model first evaluate multiple collaborative filtering techniques (variations of user based and item based filtering) by use of ROC curve and then provide recommendation to the user based on the best  ...  Collaborative filtering has emerged as one of the key techniques of recommendation system.  ... 
doi:10.35940/ijitee.f3513.049620 fatcat:ls6np4urvzdb7deeew3c2reuki

Recommendation systems: Principles, methods and evaluation

F.O. Isinkaye, Y.O. Folajimi, B.A. Ojokoh
2015 Egyptian Informatics Journal  
This paper explores the different characteristics and potentials of different prediction techniques in recommendation systems in order to serve as a compass for research and practice in the field of recommendation  ...  Recommender systems solve this problem by searching through large volume of dynamically generated information to provide users with personalized content and services.  ...  Ringo is an online social information filtering system that uses collaborative filtering to build users profile based on their ratings on music albums [10] .  ... 
doi:10.1016/j.eij.2015.06.005 fatcat:arp4euyhifhvppxf6z46rcuyqu

Techniques of Recommender System

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Recommender system has mainly three data filtering methods such as content based filtering technique, collaborative based filtering technique and the hybrid approach to manage the data overload problem  ...  This paper makes a comprehensive introduction to the recommender system with its types, content based filtering , collaborative filtering and the hybrid recommendation.  ...  Hybrid recommendation For retrieving the valuable information content and collaborative based filtering techniques are implemented. Both the techniques have their pros and cons.  ... 
doi:10.35940/ijitee.i1059.0789s19 fatcat:cyy2lsrxivhv7bpzco6lrq7wmu

Book Recommendation System Using Collaborative-Filtering System

Athul C Augustian, Gloriya Mathew
2022 Zenodo  
Collaborative filtering is an approach to build recommendation engines which is widely used in data mining and information retrieval.  ...  The recommendation system in the proposed system uses Memory based collaborative filtering.  ...  CONCLUSION Collaborative filtering algorithms are most commonly used algorithms in Recommendation System.  ... 
doi:10.5281/zenodo.6937418 fatcat:w7aeiusmebamxmgjf44x2imhwa

A Literature Survey on Recommendation System Based on Sentimental Analysis

Achin Jain, Vanita Jain
2016 Advanced Computational Intelligence An International Journal (ACII)  
The articles are categorized into three techniques of recommender system, i.e.; collaborative filtering (CF), content based and context based.  ...  Recommender systems have grown to be a critical research subject after the emergence of the first paper on collaborative filtering in the Nineties.  ...  Other based CF is that it loses useful information for dimensionality reduction Hybrid Collaborative Filtering Techniques In hybrid recommender system, different techniques of collaborative approaches  ... 
doi:10.5121/acii.2016.3103 fatcat:iro2hlh2mnhwdefigjbik4rxfi

Context Clustering-based Recommender Systems

Eyad Kannout
2020 Proceedings of the 2020 Federated Conference on Computer Science and Information Systems  
Therefore, the demand for finding more advanced techniques to generate more useful recommendations becomes an urgent.  ...  the contextual information in recommendation systems.  ...  ACKNOWLEDGMENT This paper was partially supported by the grant nr POIR.01.01.01-00-1307/17 entitled by "Development of a hybrid recommendation system for the fashion & cosmetics branch operating, among  ... 
doi:10.15439/2020f54 dblp:conf/fedcsis/Kannout20 fatcat:3or5uibapvax3jj5sf4ljacquy

An Overview of Content Recommendation Methods
english

NEETHU RAJ, SUJA RANI M S
2015 International Journal of Innovative Research in Computer and Communication Engineering  
Most of the recommendation systems face various difficulties while identifying high quality items and providing this to users.  ...  Here comes the importance of content recommendation. Content recommendation helps to overcome information overloading problem by choosing the best matching contents.  ...  Collaborative Filtering The most popular and widely used method in recommender systems is Collaborative Filtering.  ... 
doi:10.15680/ijircce.2015.0301017 fatcat:gslauno7trbwbj2z2kwhb43rpa

A Comparing Collaborative Filtering and Hybrid Recommender System for E-Commerce

Dr. C. K. Gomathy
2021 International Journal for Research in Applied Science and Engineering Technology  
Abstract: Here we are building an collaborative filtering matrix factorization based hybrid recommender system to recommend movies to users based on the sentiment generated from twitter tweets and other  ...  To reduce this dependency hybrid is used which combines both collaborative and content based filtering techniques with the sentiment generated above.  ...  The main goal to build this project is to build a collaborative filter recommender system with the use of matrix factorization technique and to build a hybrid recommender using the neural embedding layer  ... 
doi:10.22214/ijraset.2021.38844 fatcat:heerfcvzdfeljkw3x2orim77wy

Collaborative Filtering Movie Recommendation System

Manjeet Singh and Namita Goyal
2021 International journal of modern trends in science and technology  
Most of the time we select our next movie, item or song from the recommended one. In this paper I will give you a brief description of collaborative and user-based filtering.  ...  Recommendation System plays an important role in today's era of e-commerce.  ...  Collaborative filtering technique is the most widely used technique and is able to handle scalability issue. It provides better recommendation for the users.  ... 
doi:10.46501/ijmtst061291 fatcat:usnccztkpjhn3ph7u2bt2qefm4

Smart Collaborative Learning

Ouidad Akhrif, Chaymae Benfares, Younès El Bouzekri El Idrissi, Nabil Hmina
2019 International Journal of Smart Security Technologies  
The current study concerns team building based on the recommendation of the most appropriate collaborator in order to make groups of learners promoting universal participation of all members of the team  ...  The complexity of this problem requires collaborative filtering algorithms to find the potential collaborators for each learner, taking into account problem-solving as a parameter representing items of  ...  There are large numbers of recommendation techniques; the authors present the three basic approaches to recommendation systems ( Figure 1 ): content-based filtering, collaborative filtering, and hybrid  ... 
doi:10.4018/ijsst.2019070103 fatcat:ff3dksyzubch7hvgmamolmrmly

A Survey on Hybrid Recommendation Engine for Businesses and Users

Spurthy Mutturaj, Department of ISE, JSS Academy of Technical Education, Bangalore, Karnataka, India, Shwetha B, Sangeetha P, Shivani Beldale, Sahana V
2021 International Journal of Information Engineering and Electronic Business  
In this research, we have analyzed several papers and majority of them have used collaborative and content-based filtering techniques to implement recommender system.  ...  Various techniques have been used over the years to implement recommendation systems.  ...  In most recommended schemes, collaborative filtering and content-based techniques are two methods that are utmost used.  ... 
doi:10.5815/ijieeb.2021.03.03 fatcat:nzqk7x6w5zf4zen52t4utfsoye

Development of a Hybrid Real Estate Recommender System

Hakan Tas, Hilal Erdogan Sumnu, Bahadir Gokoz, Tevfik Aytekin
2019 International Journal of Technology and Engineering Studies  
In the current study, the details of a real estate recommender system developed for Zingat.com are discussed. The system developed is a hybrid of collaborative and content filtering approaches.  ...  This study also explained the challenges faced in developing and implementing the system, the recommendation techniques used to overcome these challenges, and the final product used for recommendation.  ...  We tackled this challenge by building a hybrid system which uses both collaborative filtering and content-based filtering.  ... 
doi:10.20469/ijtes.5.10003-3 fatcat:e34dj56bdzau3lbuvqghzqjgke
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