Suchergebnisse - "CONSUMER profiling"

Revolutionizing customer acquisition: Leveraging look-alike modeling and machine learning.

Autoren: Bansal, Ankit

Quelle: AIP Conference Proceedings; 2025, Vol. 3335 Issue 1, p1-10, 10p

Schlagwörter: MACHINE learning, DECISION trees, CUSTOMER relations, CONSUMER profiling, DATA mining, MARKETING strategy, BUSINESS to consumer transactions, PREDICTION models

Bayesian Consumer Profiling: How to Estimate Consumer Characteristics from Aggregate Data.

Autoren: De Bruyn, Arnaud Otter, Thomas

Quelle: Journal of Marketing Research (JMR). Aug2022, Vol. 59 Issue 4, p755-774. 20p. 1 Diagram, 6 Charts, 3 Graphs.

Schlagwörter: *CONSUMER profiling, *BAYESIAN analysis, *FORECASTING, *CONSUMER behavior, *CONSUMER research, *TECHNOLOGICAL innovations, SOCIODEMOGRAPHIC factors, LOCATION data, DATA augmentation

LOS MEJORES AUTOS DE 2024.

Quelle: Newsweek en Español (2022). nov/dec2024, Vol. 28 Issue 10, p28-38. 11p. 39 Color Photographs.

Schlagwörter: *CONSUMER profiling, *COMMUTERS, *LUXURIES, *DUAL-career families, GREAT men & women, LUXURY

Integrating User Profiles and Collaborative Filtering for Smart Recommendation of Tourism City Cultural and Creative Products.

Autoren: Zhang, Shuping

Quelle: International Journal of High Speed Electronics & Systems; Dec2025, Vol. 34 Issue 4, p1-19, 19p

Schlagwörter: RECOMMENDER systems, HERITAGE tourism, URBAN tourism, CONSUMER profiling, SATISFACTION, KNOWLEDGE acquisition (Expert systems)

Genomarketing: the potential for hyper-personalization through consumer DNA.

Autoren: Chrissos Anestis, Michael Nilsson, Jonas

Quelle: Journal of Consumer Marketing; 2025, Vol. 42 Issue 6, p743-755, 13p

Schlagwörter: TRUST, CONSUMER behavior, INFORMATION sharing, GENETIC databases, CONSUMER profiling, MARKETING strategy, WEB personalization

The rise of solo dining: prediction and consumer profiling.

Autoren: Koay, Kian Yeik Ong, Derek Lai Teik Idris, Izian et al.

Quelle: Journal of Foodservice Business Research; 2025, Vol. 28 Issue 6, p1334-1353, 20p

Schlagwörter: PLANNED behavior theory, MARKET segmentation, CONSUMER profiling, CLUSTER analysis (Statistics), MEALS, RESTAURANT advertising, ATTITUDE (Psychology), ATTITUDE change (Psychology)

Geografische Kategorien: MALAYSIA

D-RecSys: A Decentralized Recommendation Framework for Web 3.0-Based Content-Sharing Platforms.

Autoren: Roy, Utsa Mukhopadhyay, Ritoja Sharma, Prateush et al.

Quelle: ACM Transactions on Internet Technology; Nov2025, Vol. 25 Issue 4, p1-26, 26p

Schlagwörter: FEDERATED learning, DATA privacy, WEB personalization, BLOCKCHAINS, PEER-to-peer architecture (Computer networks), SHARING, CONSUMER profiling, RECOMMENDER systems

A Hybrid Numerical–Semantic Clustering Algorithm Based on Scalarized Optimization.

Autoren: Ifrim, Ana-Maria Oncioiu, Ionica

Quelle: Algorithms; Oct2025, Vol. 18 Issue 10, p607, 30p

Schlagwörter: SEMANTIC computing, CLUSTER analysis (Statistics), GENETIC algorithms, CONSUMER profiling, MATHEMATICAL optimization, OPTIMIZATION algorithms, CONSUMER behavior

Taksonomia cech osobowości i jej zastosowanie w systemach rekomendacji w sprzedaży dóbr inwestycyjnych i luksusowych. (Polish)

Autoren: Moszczyński, Wojciech

Quelle: Przemysł Spożywczy; paz2025, Vol. 79 Issue 10, p14-18, 5p

Schlagwörter: PERSONALITY, FIVE-factor model of personality, LUXURIES, RECOMMENDER systems, CONSUMER profiling, INVESTMENT products, TAXONOMY

User interest classification on social media using machine learning and deep learning models: A multi-domain approach.

Alternate Title: Sosyal medyada makine öğrenmesi ve derin öğrenme tabanlı kullanıcı ilgi alanı sınıflandırması: Çok alanlı bir yaklaşım. (Turkish)

Autoren: Zeybek, Sultan Kaçaman, Melih

Quelle: Nigde Omer Halisdemir University Journal of Engineering Sciences / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi; 2025, Vol. 14 Issue 4, p1428-1435, 8p

Schlagwörter: MACHINE learning, DEEP learning, CONSUMER profiling, INTERDISCIPLINARY research, INFORMATION dissemination, SOCIAL media, RECOMMENDER systems

Exploring the profile of green consumers: Role of demographics and factors influencing green purchase behavior.

Autoren: Mehta, Pooja Chahal, Harpreet Singh

Quelle: Business & Society Review (00453609). Jun2024, Vol. 129 Issue 2, p225-257. 33p.

Schlagwörter: *CONSUMER profiling, *GREEN marketing, *CONSUMERS, GREEN products, CLIMATE change, NATURAL resources

Geografische Kategorien: PUNJAB

Research on Cross-border E-commerce Consumer Behavior Based on Spatio-temporal Data Mining Calculation in the Perspective of Digital Economy Globalization.

Autoren: Lu, Yingchao Lv, Sijia

Quelle: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p6711-6728, 18p

Schlagwörter: CROSS-border e-commerce, CONSUMER behavior, K-means clustering, DATA analysis, DATA mining, CONSUMER profiling, ELECTRONIC commerce, PRODUCT positioning

公共数字文化服务平台的 用户体验量表开发与应用建构. (Chinese)

Alternate Title: The Development and Application of User Experience Scale for Public Digital Cultural Service Platforms. (English)

Autoren: 耿梅竞

Quelle: Journal of Academic Library & Information Science; 9/10/2025, Vol. 43 Issue 5, p94-102, 9p

Schlagwörter: USER experience, K-means clustering, RESEARCH methodology, CONSUMER profiling, STATISTICAL reliability, EXPLORATORY factor analysis, USER-centered system design

GREEN CONSUMER PROFILE ANALYSIS: INSIGHTS FROM DIGITAL MARKET CLUSTERING.

Autoren: Hariyadi, Guruh T. Purwanto, Purwanto Isnanto, Rizal

Quelle: Economic Studies. 2025, Vol. 34 Issue 5, p27-48. 21p.

Schlagwörter: Sustainable consumption, Confirmatory factor analysis, Market segmentation, Social responsibility, Consumer profiling

ЗАСТОСУВАННЯ ГРУПОВОЇ КЛАСИФІКАЦІЇ ОДНОГО КЛАСУ КВАЗІЛІНІЙНИХ РІВНЯНЬ ВІДНОСНО АЛГЕБР ЛІ РОЗМІРНОСТІ НЕ ВИЩЕ НІЖ ТРИ В ДОСЛІДЖЕННІ ПОВЕДІНКИ СПОЖИВАЧІВ. (Ukrainian)

Alternate Title: APPLICATION OF GROUP CLASSIFICATION OF ONE CLASS OF QUASILINEAR EQUATIONS WITH RESPECT TO LIE ALGEBRAS OF DIMENSION NOT HIGHER THAN THREE IN THE RESEARCH OF CONSUMER BEHAVIOR. (English)

Autoren: Вікторівна, Магда Олена Миколаївна, Горохова Олена Миколаївна, Данилюк Наталя

Quelle: Scientific Proceedings of Ostroh Academy National University Series, Economics; Sep2025, Vol. 66 Issue 38, p205-211, 7p

Schlagwörter: CONSUMER behavior, LIE algebras, MARKETING research, CONSUMER profiling, SYMBOLIC computation, SINE-Gordon equation, MATHEMATICAL models, MATHEMATICAL symmetry

Smartphone User Profiling Based on Multichannel Features Extracted From Installed App List.

Autoren: Wang, Fei Zhao, Shuang Zhong, Jincheng et al.

Quelle: Security & Communication Networks; 8/15/2025, p1-22, 22p

Schlagwörter: SMARTPHONES, MOBILE apps, CONSUMER profiling, PRIVACY, FORECASTING, CONVOLUTIONAL neural networks

GoSS-Rec: Group-Oriented Segment Sequence Recommendation.

Autoren: Aguirre, Marco Recalde, Lorena Loza-Aguirre, Edison

Quelle: Information. Aug2025, Vol. 16 Issue 8, p668. 18p.

Schlagwörter: *Recommender systems, Cycling, Cooperativeness, Heterogeneity, Consumer profiling, Web personalization, Novelty (Perception)

Enhancing marketing efficiency through data-driven customer segmentation with machine learning approaches.

Autoren: Purnamasari, Fanindia Nasution, Umaya Ramadhani Putri Elveny, Marischa

Quelle: Indonesian Journal of Electrical Engineering & Computer Science; Aug2025, Vol. 39 Issue 2, p1399-1410, 12p

Schlagwörter: MACHINE learning, K-means clustering, MARKETING effectiveness, CONSUMER behavior, DIMENSIONAL reduction algorithms, CONSUMER profiling, FEATURE extraction, EMPIRICAL research

The design of consumer behavior prediction and optimization model by integrating DQN and LSTM.

Autoren: Liu, Na Hu, Dajiang

Quelle: PLoS ONE; 7/2/2025, Vol. 20 Issue 7, p1-15, 15p

Schlagwörter: REINFORCEMENT learning, DEEP reinforcement learning, CONSUMER behavior, CONSUMER profiling, BEHAVIORAL assessment

بخش بندی روان نگاری خرده فروشیهای آنلاین جهانی بر اساس انگیزه های خرید و رفتارهای خرید آنلاین. (Persian)

Alternate Title: Psychographic Segmentation of Global Online Retailing Based on Online Shopping Motivations and Online Shopping Behaviors. (English)

Autoren: فاطمه رنجبر منیژه بحرینی زاد

Quelle: New Marketing Research Journal; 2025, Vol. 15 Issue 3, p1-26, 26p

Schlagwörter: MOTIVATION (Psychology), MARKET segmentation, CONSUMER profiling, EXTRINSIC motivation, ELECTRONIC commerce, SHOPPING, ARTIFICIAL neural networks, DATA analysis