Search Results - subject:"Recommender System"

Why are some recommendation systems preferred?

Yi, Gaofeng - In: Foresight and STI governance : journal of the National … 14 (2020) 2, pp. 76-86

There has been wide interest in exploring ways to provide more efficient personalized recommendation systems (RSs) in order to attract customers and increase product sales. The majority of the existing researches are concerned with improving the accuracy and effectiveness of the recommendation...

Persistent link: https://www.econbiz.de/10012438357

Hyperparameter optimization for recommender systems through Bayesian optimization

Galuzzi, B. G.; Giordani, I.; Candelieri, Antonio; … - In: Computational management science 17 (2020) 4, pp. 495-515

Persistent link: https://www.econbiz.de/10012486977

Financial intermediary recommender systems

Klioutchnikov, Igor K.; Kliuchnikov, Oleg I.; … - In: Journal of Eastern Europe research in business & … 2020 (2020), pp. 1-21

Persistent link: https://www.econbiz.de/10012617252

Data-driven mergers and personalization

Chen, Zhijun; Choe, Chongwoo; Cong, Jiajia; Matsushima, … - 2020

Recent years have seen growing cases of data-driven tech mergers such as Google/Fitbit, inwhich a dominant digital platform acquires a relatively small rm possessing a large volumeof consumer data. The digital platform can consolidate the consumer data with its existingdata set from other...

Persistent link: https://www.econbiz.de/10012306628

When friends give bad advice : analyzing response to recommendation performance of close others

Demming, Carsten Leo - 2020

Produktempfehlungen sind im alltäglichen Umgang zwischen Konsumenten üblich und wirken sich stark auf Konsumentscheidungen aus. Das Verständnis von Faktoren, die Konsumenten dazu bringen, Empfehlungen zu befolgen, ist daher für Manager und Verbraucherforscher gleichermaßen relevant. Obwohl...

Persistent link: https://www.econbiz.de/10012229327

Modeling Customer Behavior for Efficient Recommendation Systems

Khade, Anindita A - 2020

Maintaining good relationships with customers is the need of the day for many companies.For maintain this relationship and loyalty,it is always preffered to design a good recommendation system which would always attract new customers and also retain the old ones. Current systems take the choice...

Persistent link: https://www.econbiz.de/10012825172

Consumer Acquisition for Recommender Systems : A Theoretical Framework and Empirical Evaluations

Bi, Xuan - 2020

to network externality created by existing consumers. Importantly, our model enables the recommender system provider to … recommender system and bring significant utility to the system provider both directly and via accumulated network externality. Our …We study the problem of consumer acquisition in recommender systems, by considering a marketplace where a recommender …

Persistent link: https://www.econbiz.de/10012825437

Worth 1000 Words : The Effect of Social Cues on a Fundraising Campaign in a Government Agency. A

Sanders, Michael; Reinstein, David; Tupper, Alex - 2020

Giving has been shown by many studies to be a social phenomenon. However, while people may desire to conform to the donation of others, it is unclear how fundraisers should take advantage of this. In this paper we conduct a field experiment in a workplace, in which employees are sent prominent...

Persistent link: https://www.econbiz.de/10014090879

Products and Movie Recommendation System for Social Networking Sites

Datta, Debajit; Navamani, T M; Deshmukh, Rajvardhan - 2020

Recommendation systems are an integral part of information filtering system in data science, that are widely used in order to identify the pattern a user would likely choose on the basis of the previous choices of the user as well as from studying the pattern in which others have chosen. For a...

Persistent link: https://www.econbiz.de/10014091081

Extra : Expertise-Boosted Model for Trust-Based Recommendation System Based on Supervised Random Walk

Sadeghi Bigham, Bahram; Moghaddam, F. B. - 2020

The quality of recommendations based on any class of recommender systems may become poor if no or low quality data has been provided by users.This is a situation known as Cold Start problem, which typically happens when a new user registers to the system and no preference data is available for...

Persistent link: https://www.econbiz.de/10014096290