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New Hybrid Techniques for Business Recommender Systems [article]

Charuta Pande, Hans Friedrich Witschel, Andreas Martin
2021 arXiv   pre-print
via the use of recommender systems.  ...  These techniques are evaluated in isolation on a test set of business intelligence consultancy cases.  ...  The New Hybrid Techniques for Business Recommender Systems 3 Fig. 1.  ... 
arXiv:2109.13922v2 fatcat:e4bsph5jhrhz5m7zidwnvr3mhq

Content-based Recommender Systems: State of the Art and Trends [chapter]

Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2010 Recommender Systems Handbook  
Recommender System is a useful software tool that is integrated with the e-Commerce business applications for effective information access.  ...  In this paper we describe the different approaches used for recommendations and also the challenges and drawbacks of the existing recommendations systems.  ...  ., Mydhili.K.Nair for her continuous support and positive words from MSRIT, VTU Affiliated university who provided insight and expertise that greatly assisted the research..We thank all my friends for  ... 
doi:10.1007/978-0-387-85820-3_3 fatcat:yfbrixlflbeqbcipxwbbo7xbiy

Netflix Bigdata Analytics- The Emergence of Data Driven Recommendation

Srivatsa Maddodi, Krishna Prasad K
2019 Zenodo  
Based on these parameters its algorithm gives a personalized recommendation based on the user interest.  ...  In this paper we analyze various business strategies of Netflix.  ...  In this type of hybrid technique the output of one or more commendation This type of hybrid recommendation system is staged recommendation process and isInternational Journal of Case Studies in Business  ... 
doi:10.5281/zenodo.3510316 fatcat:jldpvv7zm5hppc5xt7jhhwi2lu

A Hybrid Knowledge Discovery System Based on Items and Tags

Worasit Choochaiwattana, Winyu Niranatlamphong
2017 Journal of Reviews on Global Economics  
The hybrid approach seems to be a promising technique for a recommender service in the knowledge management system.  ...  This paper proposes a hybrid approach by combining an item-based recommendation technique (collaborative filtering technique) with a tagbased recommendation technique (content based filtering technique  ...  ACKNOWLEDGEMENT The authors wish to thank Chia-Lin Chang and Michael McAleer for helpful comments and suggestions.  ... 
doi:10.6000/1929-7092.2017.06.32 fatcat:7qlzghgfdvdytkbzae3ujr2ybe

Recommendation Systems using Machine Learning Approach

Farhana Siddiqui
2020 International Journal for Research in Applied Science and Engineering Technology  
In this paper we study different types of recommendation systems and then propose a model of a product-based recommendation engine for a business.  ...  In the advanced age, each association is transforming its business into online business.  ...  PROPOSED SYSTEM The proposed system deals with a new customer for the business and a collaborative technique for the regular customers of an online store.  ... 
doi:10.22214/ijraset.2020.5441 fatcat:pyfapiaqj5hkbc6b3kthdfx3ya

Introducing Hybrid Technique for Optimization of Book Recommender System

Manisha Chandak, Sheetal Girase, Debajyoti Mukhopadhyay
2015 Procedia Computer Science  
This paper describes an effective hybrid technique for book recommendation with the use of Ontology for user profiling to increase system efficiency.  ...  Therefore, it is necessary to identify more distinguishing features for optimizing these techniques. This can be achieved through utilizing the strengths of various techniques in a hybrid manner.  ...  Fig. 5 shows the Recall of Recommender System for Collaborative Filtering, Content-based and Hybrid technique. 3.  ... 
doi:10.1016/j.procs.2015.03.075 fatcat:ejscf5qijrdkjio3ks3npdv7hq

A multi-agent brokerage platform for media content recommendation

Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo
2015 International Journal of Applied Mathematics and Computer Science  
Additionally, this module implements (i) a novel item stereotype to represent newly arrived items, (ii) a standard user stereotype for new users, (iii) a novel passive user tag cloud stereotype for socially  ...  The recommendation service is a rule-based switch hybrid filter, including six collaborative and two content-based filters.  ...  para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within the project FCOMP-01-0124-FEDER-022701.  ... 
doi:10.1515/amcs-2015-0038 fatcat:wbcxrlu6bvc2len6wk4dt2ctle

A Study of Recommender Systems on Social Networks and Content-based Web Systems

Rahul Hooda, Kulvinder Singh, Sanjeev Dhawan
2014 International Journal of Computer Applications  
recommendation, contentbased recommendation, and hybrid recommendation, section-III describes the business aspects of recommender systems, section-IV describes various ways of displaying recommendations  ...  To perform recommendation a number of techniques have been proposed, including content-based, collaborative, and hybrid techniques.  ...  Figure 3 shows the basic outline of a hybrid recommender system. CONCLUSION Recommender systems are turning up everywhere, from movies to news to travel and dating websites.  ... 
doi:10.5120/16996-7128 fatcat:wrfavdpntraolhsgyqnsrkvvbm

Recommender system application developments: A survey

Jie Lu, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang
2015 Decision Support Systems  
Various recommender system techniques have been proposed since the mid-1990s, and many sorts of recommender system software have been developed recently for a variety of applications.  ...  recommender systems for real-world applications becoming apparent.  ...  E-business recommender systems Many recommender systems have been developed for e-business applications.  ... 
doi:10.1016/j.dss.2015.03.008 fatcat:y4phvn677zaondsbjkn56orxt4

Survey on Personalized Web Recommender System

Santosh Kumar, Varsha
2018 International Journal of Information Engineering and Electronic Business  
This paper performs a survey on different approaches available for recommender system and performs a comparative analysis of different algorithms.  ...  At the end, issues and challenges in recommender systems have been discussed.  ...  A.3 Hybrid Recommendation Systems Hybrid recommendation system is association of two or more techniques to gain more powerful methods.  ... 
doi:10.5815/ijieeb.2018.04.05 fatcat:foiszfy3c5ge3kgqlifio256tq

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  
Various techniques have been used over the years to implement recommendation systems.  ...  In this research, we have analyzed several papers and majority of them have used collaborative and content-based filtering techniques to implement recommender system.  ...  Nowadays, recommender systems usually combine a few approaches to build a hybrid recommender system This survey was conducted to explore the various methodologies that are available for 1) Recommending  ... 
doi:10.5815/ijieeb.2021.03.03 fatcat:nzqk7x6w5zf4zen52t4utfsoye

Recommendation technique-based government-to-business personalized e-services

Jie Lu, Qusai Shambour, Guangquan Zhang
2009 NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society  
Recommendation techniques can bring a possible solution for this issue. This study proposes a hybrid recommendation approach to provide personalized government to business (G2B) e-services.  ...  A recommender system named Intelligent Business Partner Locator (IBPL) is designed to apply the proposed recommendation approach for supporting government agencies to recommend business partners.  ...  Thus the goal of a hybrid recommender system is to overcome the shortcomings of the individual recommender techniques.  ... 
doi:10.1109/nafips.2009.5156456 fatcat:w3gj5h6ihrcpzbghcakcncyssi

Netflix Bigdata Analytics- The Emergence of Data Driven Recommendation

Srivatsa Maddodi, Krishna Prasad K.
2019 International journal of case studies in business, IT, and education  
Based onthese parameters its algorithm gives a personalized recommendation based on the userinterest.  ...  In this paper we analyze various business strategies of Netflix.  ...  Below are few of the hybrid recommendation techniques Weighted: In this type of hybrid technique two or more recommendation system will provide a recommendation to user based on the user preference and  ... 
doi:10.47992/ijcsbe.2581.6942.0050 fatcat:uww6jm3a4rho7oelkdwnvj6kte

A New Hybrid Algorithm for Business Intelligence Recommender System

P. Prabhu, N. Anbazhagan
2014 International journal of network security and its applications  
In this paper, a new hybrid algorithm is proposed for recommender system which combines knowledge based, profile of the users and most frequent item mining technique to obtain intelligence.  ...  Recommender systems apply data mining techniques to the problem of making personalized recommendations for information.  ...  In this paper, a new hybrid algorithm is for business intelligence recommender system based on knowledge of users and frequent items.  ... 
doi:10.5121/ijnsa.2014.6204 fatcat:tjzt5iixtvcb5lwmstypepbjcm

A Survey on Hybrid Recommendation Systems

Prof. Pradnya Mehta, Onkar Dongare, Rushikesh Tekale, Hitesh Umare, Rutwik Wanve
2021 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Recommender systems are machine learning based systems that help users discover new products.  ...  One such technique is the use of personalized recommendation systems which uses customer's data like interests, purchase history, ratings to suggest new products which they may like.  ...  Also, this paper puts a light on Advantages and Limitations of these Hybridization techniques.  ... 
doi:10.32628/cseit217628 fatcat:oga7tt3hzne4jammfl6y7jisja
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