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  • Search: subject_exact:"Personalisierung"
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Year of publication
Subject
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Personalisierung 1,139 Personalization 1,084 Konsumentenverhalten 390 Consumer behaviour 388 E-commerce 354 Online-Handel 353 E-Business 254 E-business 252 Viral marketing 247 Virales Marketing 247 Data Mining 222 Data mining 222 Social Web 179 Social web 179 Online-Marketing 173 Internet marketing 172 Beziehungsmarketing 96 Relationship marketing 96 Customer satisfaction 79 Kundenzufriedenheit 79 Confidence 64 Vertrauen 64 Text 60 Internet 57 Theorie 54 Theory 52 Experiment 51 Online reviews 51 Digital platform 46 Digitale Plattform 46 Hotel industry 39 Hotellerie 39 recommender systems 36 Artificial intelligence 34 Deutschland 34 Germany 34 Künstliche Intelligenz 34 Recommender systems 34 Social network 33 Soziales Netzwerk 33
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Online availability
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Undetermined 480 Free 211
Type of publication
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Article 841 Book / Working Paper 298
Type of publication (narrower categories)
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Article in journal 685 Aufsatz in Zeitschrift 685 Aufsatz im Buch 149 Book section 149 Graue Literatur 69 Non-commercial literature 69 Working Paper 59 Hochschulschrift 58 Arbeitspapier 57 Thesis 35 Collection of articles of several authors 16 Sammelwerk 16 Aufsatzsammlung 10 Konferenzschrift 10 Case study 6 Conference proceedings 6 Fallstudie 6 Conference paper 5 Konferenzbeitrag 5 Collection of articles written by one author 4 Sammlung 4 Dissertation u.a. Prüfungsschriften 3 Fallstudiensammlung 3 Lehrbuch 3 Textbook 3 Amtsdruckschrift 1 Government document 1 Guidebook 1 Handbook 1 Handbuch 1 Mikroform 1 Ratgeber 1
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Language
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English 1,021 German 119 Undetermined 1
Author
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Adomavicius, Gediminas 10 Benbasat, Izak 9 Hosanagar, Kartik 9 Chen, Hong 8 Stüber, Eva 7 Lee, Dokyun 6 Zhang, Jingjing 6 Bala, Pradip Kumar 5 Bandulet, Martin 5 Hinz, Oliver 5 Jiang, Yuanchun 5 Law, Rob 5 Liu, Hongyan 5 Luca, Michael 5 Morasch, Karl 5 Moro, Sérgio 5 Sahoo, Nachiketa 5 Tuzhilin, Alexander 5 Bauknecht, Kurt 4 Benlian, Alexander 4 Bockstedt, Jesse 4 Chen, Jianqing 4 Dens, Nathalie 4 Glaeser, Edward L. 4 Helmers, Christian 4 Kim, Hyunjin 4 Kim, Jong Min 4 Knoll, Julian 4 Krishnan, Pramila 4 Lorincz, Szabolcs 4 Moradi, Alexander 4 Patnam, Manasa 4 Pau, Louis-Francois 4 Pelsmacker, Patrick de 4 Raghunathan, Srinivasan 4 Sapi, Geza 4 Sarkar, Sumit 4 Sparks, Beverley A. 4 Wang, Weiquan 4 Xu, Xun 4
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Institution
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Springer Fachmedien Wiesbaden 6 National Bureau of Economic Research 3 Friedrich-Schiller-Universität Jena 2 IGI Global 2 Verlag Dr. Kovač 2 AAMAS <7, 2008, Estoril> 1 AMEC <10, 2008, Estoril> 1 Centre for Educational Research and Innovation 1 Committee on dietary allowances, Food and Nutrition Board, Division of Biological Sciences, Assembly of Life Sciences, National Research Council 1 Competence Center Information Systems & Services 1 Conference on Artificial Intelligence <23, 2008, Chicago, Ill.> 1 DEXA <13, 2002, Aix-en-Provence> 1 EC Web <11, 2010, Bilbao> 1 EC Web <12, 2011, Toulouse> 1 EC Web <13, 2012, Wien> 1 EC Web <2, 2001, München> 1 EC Web <3, 2002, Aix-en-Provence> 1 EC Web <4, 2003, Prag> 1 EC Web <6, 2005, Kopenhagen> 1 EC-Web <14, 2013, Prag> 1 Eric Cuvillier <Firma> 1 Ernst-Moritz-Arndt-Universität Greifswald 1 Fakultät für Wirtschafts- und Organisationswissenschaften, Universität der Bundeswehr 1 Food and Nutrition Board 1 Friedrich-Ebert-Stiftung 1 Georg-August-Universität Göttingen 1 Hochschule der Medien 1 ICEC <15, 2013, Turku> 1 Institut für Wirtschaftsinformatik <Münster, Westfalen> 1 Josef Eul Verlag GmbH 1 MWV Medizinisch Wissenschaftliche Verlagsges. mbH & Co. KG 1 National Research Council 1 Sachverständigenrat für Verbraucherfragen 1 TADA <6, 2008, Chicago, Ill.> 1 Technische Universität <München> / Fakultät für Wirtschaftswissenschaften 1 Technische Universität Braunschweig 1 Technische Universität Dresden 1 Universität <Augsburg> / Lehrstuhl für BWL, Wirtschaftsinformatik,Informations- & Finanzmanagement 1 World Tourism Organization 1
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Published in...
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Electronic commerce research 24 International journal of hospitality management 24 Information & management : the internat. journal of management processes and systems ; journal of IFIP Users Group 22 Information systems research : ISR 21 Journal of management information systems : JMIS 20 Tourism management : research, policies, practice 20 Journal of business research : JBR 18 Journal of retailing and consumer services 18 Electronic commerce research and applications 16 International journal of business information systems : IJBIS 16 International journal of electronic commerce : IJEC 13 Management science : journal of the Institute for Operations Research and the Management Sciences 13 Journal of electronic commerce in organizations : the international journal of electronic commerce in modern organizations ; an official publication of the Information Resources Management Association 11 Journal of information & knowledge management : JIKM 11 The power of one : gaining business value from personalization technologies 11 International journal of contemporary hospitality management 10 Journal of electronic commerce research : JECR 10 Management information systems : mis quarterly 10 Decision support systems : DSS ; the international journal 9 Electronic markets : EM ; the international journal of electronic commerce and business media 9 Information systems and e-business management : ISeB 9 Journal of retailing 8 SpringerLink / Bücher 8 Technological forecasting & social change : an international journal 8 Tourism management perspectives : TMP 8 Electronic markets : the international journal on networked business 7 INFORMS journal on computing : JOC 7 International journal of internet marketing and advertising : IJIMA 7 Journal of internet commerce 7 Praxis der Personalisierung im Handel : mit zeitgemäßen E-Commerce-Konzepten Umsatz und Kundenwert steigern 7 E-Life: web-enabled convergence of commerce, work, and social life : 10th Workshop on E-Business, WEB 2011 ; Shanghai, China, December 2011 ; revised selected papers 6 International journal of production research 6 Journal of hospitality marketing & management 6 Journal of organizational computing and electronic commerce 6 Lecture notes in business information processing : LNBIP 6 Medienwirtschaft : MW ; Perspektiven der digitalen Transformation 6 Psychology & marketing 6 Arbeitsbericht ... des Competence Center E-Business Basel 5 Arbeitsberichte der Hochschule für Wirtschaft FHNW 5 ERIM report series research in management 5
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Source
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ECONIS (ZBW) 1,114 USB Cologne (EcoSocSci) 13 USB Cologne (business full texts) 7 BASE 2 EconStor 2 RePEc 1
Showing 1 - 50 of 1,139
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Digital Content Creation : An Analysis of the Impact of Recommendation Systems
Qian, Kun; Jain, Sanjay - 2023
The success of digital content platforms such as YouTube depends on the creativity of independent content creators and the efficiency of content distribution. These platforms share advertising revenue with content creators to induce creative effort. Most platforms also use recommendation systems...
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Stability, Fairness and the Pursuit of Happiness in Recommender Systems
Benade, Gerdus; Sahoo, Nachiketa - 2023
Top-k personalized recommendations are ubiquitous, but are they stable? We study whether, given complete information, buyers and sellers prefer to participate in matches formed by top-k recommendations rather than pursuing offline matches among themselves. When there are no constraints on the...
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Effects of voice assistant recommendations on consumer behavior
Flavián Blanco, Carlos; Akdim, Khaoula; Casaló, Luis V. - In: Psychology & marketing 40 (2023) 2, pp. 328-346
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Multicriteria decision making taxonomy of code recommendation system challenges : a fuzzy-AHP analysis
Azeem Akbar, Muhammad; Khan, Arif Ali; Huang, Zhiqiu - In: Information technology and management 24 (2023) 2, pp. 115-131
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Enhancing brick-and-mortar store shopping experience with an augmented reality shopping assistant application using personalized recommendations and explainable artificial intellig...
Cirqueira, Douglas; Helfert, Markus; Bezbradica, Marija; … - In: Journal of research in interactive marketing : … 17 (2023) 2, pp. 273-298
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What changes in restaurant satisfaction during Covid-19? : an overview based on online reviews
Silva Farinha, Carlos; Tiago, Flávio Borges; Moreira … - In: Journal of tourism, sustainability and well-being 11 (2023) 1, pp. 13-26
Lately, online users have become avid content creators and consumers of brands and firms through reviews. These serve as sources to peers and reflect reviewers’ satisfaction levels with different elements of the experiences. Thus, online reviews are considered reliable sources of information...
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Biased Recommender Systems And Supplier Competition
Fletcher, Amelia; Ormosi, Peter L.; Savani, Rahul; … - 2023
Recommender systems are prevalent across digital platforms. They use machine learning techniques to help consumers make choices by predicting their preferred items. If RS had perfect information about consumer preferences and item attributes, they could recommend the most suitable item for each...
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A Personalized Tour Recommender in Python using Decision Tree
Khan, Nayma; Haroon, Mohammad - 2023
A tourist recommendation system has been implemented based on python, Django framework and MySQL database. Firstly, crawler technology is used to crawl the ratings(reviews of customer experiences) information of TripAdvisor, and then the crawled ratings data is stored in MySQL. In the system,...
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Intelligent Medication Recommendation System
Meenigea, Niharikareddy - 2023
The development of an intelligent medication recommendation system can greatly benefit the healthcare industry by providing personalized and targeted treatment plans using artificial intelligence (AI). This system analyzes patient data, including medical history, symptoms, genetic information,...
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FlixTime : Group Movie Recommendation System
Jalui, Manish; Kadam, Tejas; Karkera, Kartik; Wani, Rushank - 2023
FlixTime is a movie recommendation web application that recommends a group of friends having different interests in movie genres, some movies that most of them will enjoy. The system uses Hybrid approach to recommend movies due to the downsides of using only content based approach or...
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Online Appendix of 'Steering via Algorithmic Recommendations'
Chen, Nan; Tsai, Hsin-Tien - 2023
Online Appendix of “Steering via Algorithmic Recommendations” Chen and Tsai (2019)This paper studies whether self-preferencing affects algorithmic recommendations on dominant platforms. We focus on the dual role of Amazon.com as a platform owner and retailer. We find that products sold by...
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Recommender Systems and Competition on Subscription-Based Platforms
Castellini, Jacopo; Fletcher, Amelia; Ormosi, Peter L.; … - 2023
Subscription-based platforms offer consumers access to a large selection of content at a fixed subscription fee. Recommender systems (RS) can help consumers by reducing the size of this choice set by predicting consumers' preferences. However, because the prediction is based on limited...
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Prices and Reviews as Information Cues in E-Commerce Recommender Systems
Fang, Xing; Kim, SunAh; Chintagunta, Pradeep K. - 2023
Online retailers widely use prices and reviews, as additional information cues along with thumbnail pictures, when making product recommendations to consumers. They may use both prices and reviews (“dual cues”), either one (“single cue”), or simply display pictures of recommended...
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Interpolating Item and User Fairness in Recommendation Systems
Chen, Qinyi; Liang, Jason Cheuk Nam; Golrezaei, Negin; … - 2023
Online platforms employ recommendation systems to enhance customer engagement and drive revenue. However, in a multi-sided platform where the platform interacts with diverse stakeholders such as sellers (items) and customers (users), each with their own desired outcomes, finding an appropriate...
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The bright side of lower quality : evidence from restaurant exploration
Carrera, Clara; Martínez-de-Albéniz, Victor; Sosa, Manuel - 2023 - Revised version of 2020/29/TOM
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Estimating serendipity in content-based recommender systems
Hertz, Alain; Kuflik, Tsvika; Tuval, Noa - 2023
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Differences in consumer knowledge and perceptions of personalized advertising : comparing online behavioural advertising and synced advertising
Segijn, Claire M.; Ooijen, Iris van - In: Journal of marketing communications 28 (2022) 2, pp. 207-226
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Streaming platform and strategic recommendation bias
Bourreau, Marc; Gaudin, Germain - In: Journal of economics & management strategy : JEMS 31 (2022) 1, pp. 25-47
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Systematic review : YouTube recommendations and problematic content
Yesilada, Muhsin; Lewandowsky, Stephan - In: Internet policy review : journal on internet regulation 11 (2022) 1, pp. 1-22
There has been much concern that social media, in particular YouTube, may facilitate radicalisation and polarisation of online audiences. This systematic review aimed to determine whether the YouTube recommender system facilitates pathways to problematic content such as extremist or radicalising...
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The influence of food recommendations : evidence from a randomized field experiment
Bookwala, Kamal; Gallemore, Caleb; Gómez-Miñambres, … - In: Economic inquiry 60 (2022) 4, pp. 1898-1910
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Learning from reviews : the selection effect and the speed of learning
Acemoglu, Daron; Makhdoumi, Ali; Malekian, Azarakhsh; … - In: Econometrica : journal of the Econometric Society, an … 90 (2022) 6, pp. 2857-2899
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Do sensory reviews make more sense? : the mediation of objective perception in online review helpfulness
Lopez, Alberto; Garza, Ricardo - In: Journal of research in interactive marketing : … 16 (2022) 3, pp. 438-456
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Screening with persuasion
Bergemann, Dirk; Heumann, Tibor; Morris, Stephen - 2022
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CAPIRS : COVID-19-based application programming interface recommendation system for the developers
Nawaz, Muhammad Sajid; Saif-Ur-Rehman, Khan; Ahmad, Bashir - In: Journal of information & knowledge management : JIKM 21 (2022) 1, pp. 2240004-1-2240004-30
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When more is less : the other side of artificial intelligence recommendation
Chen, Sihua; Qiu, Han; Zhao, Shifei; Han, Yuyu; He, Wei; … - In: Journal of management science and engineering 7 (2022) 2, pp. 213-232
Based on consumers' preferences, AI (artificial intelligence) recommendation automatically filters information, which provokes scholars' debate. Supporters believe that by analyzing the consumers' preferences, AI recommendation enables consumers to choose products more quickly and at a lower...
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Personalized Recommendation System Design for an Online B2B Platform
Gaur, Vishal; Liu, Xiaoyan - 2022
We formulate the problem of designing a personalized recommendation system for an online business-to-business (B2B) marketplace, propose a method to solve it, and evaluate results using field experiments. In this problem, buyers place requests for quotation (RFQs) to the platform, sellers...
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How to make recommendation systems fair : an adequate utility-based approach
Roengchai Tansuchat; Kosheleva, Olga - In: Asian journal of economics and banking : AJEB 6 (2022) 3, pp. 308-313
Purpose - In user-oriented websites, e.g. in news websites or in seller websites, it is important to take the user's preferences into account when deciding which items to place in higher-exposure locations. The traditional approach to solving this problem, based on maximizing the average user...
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A Comprehensive Insight on Machine Learning enabled Internet of Things Recommender Systems (IoTRS)
Ahlawat, Partibha; Rana, Chhavi - 2022
With the advancement in technologies, the opportunities for new integrated solutions are also unlocked. Internet of Things by connecting cyber and physical world introduce enormous paradigm change in computing and information technologies. Recommender system helps in filtering the data by taking...
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Privacy-Preserving Personalized Recommender Systems
Fu, Xingyu; Chen, Ningyuan; Gao, Pin; Li, Yang - 2022
Although personalized recommender systems are vital for many online platforms, they lead to controversial societal issues such as privacy breaches. In response to such concerns, there is a clear regulatory trend in calling for stringent privacy protection mechanisms implanted in such algorithms....
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Recommender Systems under Privacy Protection
Küçükgül, Can; Özer, Özalp; Wang, Shouqiang - 2022
The pervasive use of personal data by modern algorithmic recommender systems has sparked public outcry for tighter privacy regulations. Personal preferences over different product offerings are a basic constituent of consumer privacy. We study how a profit-driven online platform, who has...
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How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment
Li, Xitong; Grahl, Jörn; Hinz, Oliver - 2022
How do recommender systems induce consumers to buy? Extant research neglects to examine the causal paths through which the use of recommender systems leads to consumer purchases. In this study, we conduct a randomized controlled field experiment on the website of an online book retailer and...
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Targeted Advertising as an Implicit Recommendation and Personal Data Opt-Out
Ning, Z. Eddie; Shin, Jiwoong; Yu, Jungju - 2022
Advances in data collection and algorithms help advertisers to better target individual consumers by predicting each consumer's preferences. We first show that when consumers have uncertainties about their preferences, an ad targeted to a consumer carries an implicit message: the algorithm...
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Information Design for Social Learning on a Recommendation Platform
Lyu, Chen - 2022
Early consumption of a product often benefits later consumers by revealing quality information. Inefficiency arises, however, because early consumers do not internalize the social value of their consumption. How could a platform that intermediates information between early and late consumers...
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Recommendation in the age of digital communication : a proposal for Business, Education, Social, Private Life Recommendation Scale (BESP-L) for human resources communication
Uçar, Baris; Solak, Gonca; Göçer, Yaşar; Arslan, Nevzat - In: Journal of HRM - human resource management 25 (2022) 2, pp. 1-12
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What is the role of T.E.A concept between positive recommendation and behavioural intention to purchase in social media?
Phyo Min Tun - In: The South East Asian journal of management 16 (2022) 2, pp. 26-50
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Deep Learning-Based Recommendation System
Mehra, Kiran; Dubey, Rahul; Dubey, Ghanshyam Prasad - 2022
In current days, the recommendation system is the most popular thing which is used in almost all websites and apps like Internshala, LinkedIn, Instagram, Facebook, Amazon, Netflix, and many more. All of them have used the recommendation system to create practical solutions for the users. A...
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Conflicts and challenges in practices of commercializing humans : an ethnographic study of influencer marketing work
Christensen, Anna-Bertha Heeris - 2022 - First edition
Preview
Preview
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Deep Multi-Objective Multi-Stakeholder Music Recommendation
Unger, Moshe; Li, Pan; Cohen, Maxime C.; Brost, Brian; … - 2022
Many successful recommendation approaches rely on the optimization of a single objective function for a single stakeholder (i.e., the customer) based on customer-product interaction records. In this paper, we argue that for two-sided marketplaces such as music streaming platforms, it is more...
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The Economics of Recommender Systems : Evidence from a Field Experiment on MovieLens
Aridor, Guy; Gonçalves, Duarte; Kluver, Daniel; Kong, … - 2022
We conduct a field experiment on a movie-recommendation platform to identify if and how recommendations affect consumption. We use within-consumer randomization at the good level and elicit beliefs about unconsumed goods to disentangle exposure from informational effects. We find recommendations...
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The economics of recommender systems : evidence from a field experiment on MovieLens
Aridor, Guy; Gonçalves, Duarte; Kluver, Daniel; Kong, … - 2022
We conduct a field experiment on a movie-recommendation platform to identify if and how recommendations affect consumption. We use within-consumer randomization at the good level and elicit beliefs about unconsumed goods to disentangle exposure from informational effects. We find recommendations...
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Data-driven mergers and personalization
Chen, Zhijun; Choe, Chongwoo; Cong, Jiajia; Matsushima, … - In: The Rand journal of economics 53 (2022) 1, pp. 3-31
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Similarity and consistency in algorithm-guided exploration
Bao, Yongping; Danwitz, Ludwig; Dvorak, Fabian; … - 2022
Algorithm-based decision support systems play an increasingly important role in decisions involving exploration tasks, such as product searches, portfolio choices, and human resource procurement. These tasks often involve a trade-off between exploration and exploitation, which can be highly...
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Recommender systems and supplier competition on platforms
Fletcher, Amelia; Ormosi, Peter L.; Savani, Rahul - 2022
An increasing number of consumption decisions happen on two (or more) sided platforms that carry goods and services from a large number of suppliers. In principle, such easy access to a multiplicity of products should lower consumers' search costs and thereby enhance their decision-making. In...
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A Recommending System for Mobile Games Using Dynamic Nonparametric Model
Bae, Joonho; Park, Jinkyoo; Choi, Jeonghye; Soh, Seung Bum - 2022
We contribute to the literature on recommendation systems by proposing the Dynamic Nonparametric (DNP) model that incorporates a fully Bayesian approach into the traditional dynamic collaborative filtering and hence captures the change of customer preferences in the mobile game industry with...
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Communicating Preferences to Improve Recommendations
Habibi, Amir - 2022
I study a cheap talk model between two players: a buyer/decision maker and a seller/expert. There is two-sided private information and I allow for sequential, twoway communication. The buyer faces a decision about purchasing one of a number of goods, and the buyer’s valuation depends on: her...
Persistent link: https://ebtypo.dmz1.zbw/10013313895
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The RFM model analysis for VIP customer : a case study of Golf clothing brand
Chou, Tung-Hsiang; Chang, Shu Chen - In: International journal of knowledge management : IJKM ; … 18 (2022) 1, pp. 1-18
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Cultural differences in processing online customer reviews : holistic versus analytic thinkers
Brand, Benedikt; Kopplin, Cristopher Siegfried; Rausch, … - In: Electronic markets : EM ; the international journal of … 32 (2022) 3, pp. 1039-1060
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Explaining reviewing effort : existing reviews as potential driver
Rohde, Christoph; Kupfer, Alexander; Zimmermann, Steffen - In: Electronic markets : EM ; the international journal of … 32 (2022) 3, pp. 1169-1185
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Uncovering the identity of electronic markets research through text mining techniques
Nahr, Nora; Heikkilä, Marikka - In: Electronic markets : EM ; the international journal of … 32 (2022) 3, pp. 1257-1277
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Data modalities, consumer attributes and recommendation performance in the fashion industry
Sysko-Romańczuk, Sylwia; Zaborek, Piotr; Wróblewska, Anna - In: Electronic markets : EM ; the international journal of … 32 (2022) 3, pp. 1279-1292
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