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Preprint ARTICLE | doi:10.20944/preprints202211.0111.v1

A Graph Neural Network-based Video Recommendation Model Combining Users’ Long-term and Short-term Preference

mildred brook, David Rohlf, Andrea Bishop, Matt Jones

Subject: Computer Science And Mathematics, Information Systems Keywords: Recommendation, GNN, Preference

Online: 7 November 2022 (08:38:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.1671.v1

Developing a Convenience Store Product Recommendation System through Store-Based Collaborate Filtering

Jae Kyung Lee, Jinho Kim

Subject: Business, Economics And Management, Other Keywords: recommendation models; store-based recommendation models; implementation of recommender system

Online: 26 September 2023 (03:12:05 CEST)

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Recently, e-commerce companies have been adopting and continuously enhancing personalized product recommendation systems, and there is active research in this field within academia. However, personalized product recommendations in offline retail stores have not yielded significant outcomes thus far. Especially for small-format offline retail businesses like convenience stores, where customer information might be limited, providing personalized product recommendations poses even greater challenges. To address this issue, this study aimed to find a solution by shifting the perspective on recommendation methods and altering the target of recommendations in existing personalized recommendation models. In this study, recommending products that customers need in an offline store was defined as suggesting products that should be introduced and displayed within the store. In other words, the recommendation focus shifted from individuals to the stores themselves. This recommendation system proposes products that individual stores have not yet introduced but are anticipated to be purchased by customers among the products managed by the headquarters. Building upon this, we devised a store-based product recommendation system. The widely used user-based collaborative filtering model, a common technique in existing recommendation systems, was adapted into a store-based collaborative filtering model. Furthermore, various rules and logic pertinent to store operations and business considerations for convenience stores were integrated to implement this store product recommendation system. The accuracy and effectiveness of the system were demonstrated through its application in actual convenience stores. Results from the pilot implementation of the system showed that 88% of the newly recommended products in individual stores were sold based on one week of sales data, and the sales revenue was 1.75 times higher than the average sales revenue of those products across the entire company. Survey results on business owners' satisfaction yielded a score of 4.2 out of 5, indicating a high level of contentment. Additional observed effects included the expansion of product range and reduction in order lead times. However, 12% of the total recommended SKUs did not sell within one week, and 34% of the SKUs did not meet the overall average sales quantity. This research holds significance in extending the scope of personalized recommendation studies from primarily online platforms to offline retail businesses like convenience stores. It provides tangible methodologies and outcomes that can be implemented in real-world settings through the construction and validation of an actual system. The study also suggests avenues for future research to address some of the identified limitations.

Preprint ARTICLE | doi:10.20944/preprints202302.0196.v1

SFRRG: A Graph Neural Network Recommendation Model based on Feature and Structure Information

Devon Patterson, John Wilson, Michael Forrow, Tereza Wald

Subject: Computer Science And Mathematics, Information Systems Keywords: Recommendation; GNN; Information; Feature; Structure

Online: 13 February 2023 (03:28:02 CET)

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Preprint REVIEW | doi:10.20944/preprints202212.0077.v1

An Overview of Malaria Transmission Mechanisms, Control, and Modeling

Merveille Koissi Savi

Subject: Medicine And Pharmacology, Tropical Medicine Keywords: Complexity; policy-recommendation; mathematical models

Online: 5 December 2022 (11:33:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0534.v1

GPRE: Multi-Path Guided Recommender System Based on Graph Neural Networks

Evan webster, Julie Hill, Tyson Shimada, Braedon Smyth

Subject: Computer Science And Mathematics, Information Systems Keywords: Recommendation; GNN, Feature; Path; Embedding

Online: 29 November 2022 (04:19:09 CET)

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Recommender systems as an effective information filtering system can be used to obtain information through the user's explicit or implicit behavior. On the one hand finding items that may be of interest to the user. On the other hand, the recommendation facilitates the interaction between the user and the item to increase the revenue. Recommender systems have been widely used in various fields, such as e-commerce, travel recommendation, online books and movies, social networks, etc, which can satisfy the intrinsic implicit needs of users through personalized services. In recent years, the development of deep learning has further improved the performance of recommendation systems. Although these methods improve the performance of the recommendation system, when the number of users and products increases, the recommendation system may face sparsity and cold start problems, and thus cannot achieve personalized recommendations. Knowledge graphs, which are structured data, have become the choice of many algorithms due to the high quality and wide scale of the data, and therefore many recommendation algorithms combined with knowledge graphs have emerged as a popular new direction in recommendation systems. These algorithms are able to preserve the rich connections between different entities. Moreover, when constructing the features of an entity, the entities that are far away from the central entity can also be utilized. Entities are no longer only directly connected to each other. To address the shortcomings of existing recommendation algorithms, this paper designs the recommendation algorithm GPRE using graph neural networks. GPRE focuses on expressing the user's features. The graph neural network provides GPRE with a strong generalization capability for modeling, which can provide long-range semantics between users and entities, as well as selective entity selection in the auxiliary graph neural network. Explicit semantic links are established between remote and central nodes to reduce the introduction of noise. In this paper, experiments are conducted on real-world datasets and the results are compared with baselines. The experimental results show that GPRE performs well on the experimental dataset.

Preprint ARTICLE | doi:10.20944/preprints202408.0905.v1

Recommender System for University Degree Selection: A Socioeconomic and Standardized Test Data Approach

Enrique DelaHoz-Dominguez, Raquel Hijón-Neira

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: recommendation system; learning analytics; machine learning

Online: 13 August 2024 (13:11:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1522.v1

CDF-LS:Contrastive Network for Emphasizing Feature Differences with Fusing Long and Short-term Interest Features

Kejian Liu, Wei Wang, Rongju Wang, Xuran Cui, Liying Zhang, Xianzhi Yuan, Xianyong Li

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Recommendation system; Contrast learning; Deep Learning

Online: 22 May 2023 (11:55:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1488.v1

Improving Bug Assignment and Developer Allocation in Soft-ware Engineering through Interpretable Machine Learning Models

Mina Samir Shenouda, Nada H. Sherief, Walid M. Abdelmoez

Subject: Computer Science And Mathematics, Computer Science Keywords: Explainability; Explainable AI; XAI; Recommendation; Bugs

Online: 22 May 2023 (09:42:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0212.v1

A Graph Neural Network Recommendation Method Based on Social Relationship Embedding

Lary Tzeng, Jean Shih, Rimpei Liou, Dely Huang, Dan Smolen

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Graph Neural Network; Recommendation; Social Relationship

Online: 14 September 2022 (16:09:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0489.v1

A Social Recommendation Based on Metric Learning and Users’ Co-occurrence Pattern

Xin Zhang, Jiwei Qin, Jiong Zheng

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: recommender systems; social recommendation; metric learning

Online: 29 September 2021 (11:21:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201904.0071.v1

Information Usage Behavior and Importance: Korean Scientist and Engineer Users of a Personalized Recommendation Service

Jung-Hoon Park, Seong Eun Park, Hee-Seok Choi, Yun-Young Hwang

Subject: Social Sciences, Behavior Sciences Keywords: personalized recommendation service; usage behavior; KOSEN

Online: 7 April 2019 (12:42:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1700.v1

Job Recommendation System Combining Collaborative Filtering and Content Based Filtering

Raden Ibnu Huygenz Widodo, Reza Fahlevi Herdiyanto, Muhammad Thoriq, Imam Sayyid Rahman

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: machine learning; CBF; CF; job recommendation system

Online: 22 July 2024 (10:50:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0412.v1

Dictionary Learning for Personalized Multimodal Recommendation

Bo Liu, Henri Millett, Bruno L. Rebola, Plank Svensen

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Dictionary learning, Recommender system, Personalized recommendation, Multimodal

Online: 30 June 2022 (03:43:30 CEST)

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Working Paper ARTICLE

Bringing Onco-innovation to Europe's Healthcare Systems: The Potential of Biomarker Testing, Real World Evidence, Tumour Agnostic Therapies to Empower Personalised Medicine

Denis Horgan, Gennaro Ciliberto, Pierfranco Conte, Giuseppe Curigliano, Luis Seijo, Luis M. Montuenga, Marina Garassino, Frederique Penault-Llorca, Fabrizia Galli, Isabelle Ray-Coquard, Denis Querleu, Peter Riegman, Keith Kerr, Hendrik Van Poppel, Anders Bjartell, Giovanni Codacci-Pisanelli, Benedikt Westphalen, Jasmina Koeva-Balabanova, Angelo Paradiso, Zorana Maravic, Vassiliki Fotaki, Nuria Malats, Chiara Bernini, Simonetta Buglioni, Alastair Kent, Elisabetta Munzone, Ivica Belina, Jan Van Meerbeeck, Michael Duffy, Beata Jagielska, Ettore Capoluongo

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: cancer biomarkers; BRCA1/2; genomics; European recommendation

Online: 18 August 2020 (16:30:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0307.v1

Bringing onco-innovation to Europe’s healthcare systems: the unexploited potential of biomarker testing, real world evidence and the potential of Tumour Agnostics. The lesson from BRCA1/2 genetic testing

Denis Horgan, Gennaro CILIBERTO, Pierfranco Conte, Giuseppe CURIGLIANO, Luis Seijo, Luis M. Montuenga, Luis Paz-Ares, Marina Chiara Garassino, Penault-Llorca Frederique, Fabrizia GALLI, Isabelle Ray-Coquard, Denis Querleu, David R. Baldwin, Susana Banerjee, Peter H.J. Riegman, Keith Kerr, Benjamin Horbach, Reinhard Büttner, Hendrik Van Poppel, Anders Bjartell, Giovanni Codacci-Pisanelli, Westphalen Christoph Benedikt, Fabien CALVO, Jasmina Koeva-Balabanova, Stephen Hall, Angelo Virgilio Paradiso, Dipak. Kalra, Christa M. Cobbaert, Rocio Varea Mendez, Zorana Maravic, Vassiliki Fotaki, Jaafar Bennouna, Estelle Cauchin, Núria Malats, Iñaki Gutiérrez-Ibarluzea, Benjamin Gannon, Ken Mastris, Chiara Benini, William M. Gallagher, Simonetta Buglioni, Alastair Kent, Elisabetta Munzone, Ivica Belina, Jan P. van Meerbeeck, Michael Joe Duffy, Elzbieta. Sarnowska, Beata Jagielska, Sarah Mee, Ettore Domenico Capoluongo

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: cancer biomarkers, BRCA1/2, genomics; European recommendation

Online: 14 August 2020 (04:27:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0302.v1

ResNetMF: Enhancing Recommendation Systems with Residual Network Matrix Factorization

Mustafa Payandenick, Yin Chai Wang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: recommendation systems, personalized recommendations, ResNetMF, Residual Network Matrix Factorization, deep residual network, recommendation accuracy, linear and nonlinear relationships

Online: 6 October 2023 (08:23:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1365.v1

A Recommendation System for Prosumers Based on Large Language Models

Simona Vasilica Oprea, Adela Bâra

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: LLM; recommendation system; prosumers; energy communities; RES integration

Online: 21 May 2024 (12:44:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0525.v1

A Global Structural Hypergraph Convolution Model for Bundle Recommendation

Xingtong Liu, Man Yuan

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: recommender system; bundle recommendation; hypergraph neural network; hypergraph

Online: 8 August 2023 (05:04:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0518.v1

Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations

Srilatha Tokala, Murali Krishna Enduri, Jaya Lakshmi T, Hemlata Sharma

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Matrix factorization; Recommendation; Community detection; Parallel computation; RMSE

Online: 7 August 2023 (09:54:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1709.v1

LLM- Based Personalized Recommendations in Health

Boris A. Galitsky

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Large Language Models; personalization; recommendation; meta-prompts; abductive reasoning

Online: 29 February 2024 (12:51:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.2417.v1

Harnessing Multimodal Data and Mult-Recall Strategies for Enhanced Product Recommendation in E-Commerce

Siyue Li

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: product recommendation; mult-recall; LightGBM ranker; feature engineering; machine learning

Online: 30 September 2024 (14:37:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1337.v1

MSD: Multi-order Semantic Denoising Model for Session-Based Recommendation

Shulin Cheng, Wentao Huang, Zhenqiang Yu, Jianxing Zheng

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Recommender system; session-based recommendation; graph neural network; attention mechanism

Online: 16 July 2024 (17:08:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1920.v1

A Study of Reciprocal Job Recommendation for College Graduates Integrating Semantic Keyword Matching and Social Networking

Jinping Yao, Yunhong Xu, Jiaojiao Gao

Subject: Computer Science And Mathematics, Information Systems Keywords: job recommendation; semantic keyword matching; reciprocity; social networks; college graduates

Online: 30 October 2023 (11:05:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202307.0606.v1

Towards a Value-Based Therapy Recommendation Model

Zhang Liu, Liang Xiao

Subject: Computer Science And Mathematics, Computer Science Keywords: patient values; clinical decision-making; personalized therapy; recommendation model; argumentation

Online: 10 July 2023 (10:15:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0455.v1

Cooking PaPa: An Online Application that Helps Remove the Barrier Between Modern Generation and Cooking

Tauheed Khan Mohd, Vuong Nguyen, Tuan Truong, Trang Hoang, Tuan Nguyen

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: datasets; online; cooking; flutter, videos; images; online recommendation; machine learning

Online: 23 December 2022 (08:19:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202209.0008.v1

A Multi-agent Approach to Predict Long-Term Glucose Oscillation in Individuals with Type 1 Diabetes

João Paulo Aragão Pereira, Anarosa Alves Franco Brandão, Joyce da Silva Bevilacqua, Maria Lúcia Cardillo Côrrea-Giannella

Subject: Computer Science And Mathematics, Computer Science Keywords: Glucose Oscillation; Prediction; Multi-agent; Type 1 Diabetes; Personalized; Recommendation

Online: 1 September 2022 (07:13:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.0269.v1

Learning A-Share Stock Recommendation From Stock Graph and Historical Price Simultaneously

Hanyang Chen, Tian Wang, Jessada Konpang, Adisorn Sirikham

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Stock Recommendation; Graph Neural Network; Gated Recurrent Network; Self-supervised Learning

Online: 4 October 2024 (00:10:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.1570.v1

The Impact of Types of Recommendation System on User Satisfaction: A Moderated Mediation Analysis

XINYUE HE, QI LIU, SUNHO JUNG

Subject: Business, Economics And Management, Marketing Keywords: recommendation system; user shopping goal; feeling right; psychological reactance; moderated mediation

Online: 23 January 2024 (03:47:05 CET)

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Preprint BRIEF REPORT | doi:10.20944/preprints202104.0693.v1

COVID-19 Clinical Practice Guidelines Hadhramout Initiative Against Corona Group (HIAC Group)

Abdulla A. Baradwan, Khalid H. Ba-Msahell, Iman A. Ba-Saddik, Ibrahim Albakri, Hassan O. Batis, Ahmed Babiqai, Ahmed Al habshi, Shaker Bajaber, Ahmed M. Badheeb

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: COVID-19; SARS-CoV-2; HIAC Recommendation; Diagnosis; Treatment; Discharge Management

Online: 26 April 2021 (20:42:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202002.0016.v1

Recommendations for Promoting Patient Engagement in Chronic Care: A Consensus Conference Statement

Guendalina Graffigna, Serena Barello, Giuseppe Riva, Massimo Corbo, Gianfranco Damiani, Primiano Iannone, Albino Claudio Bosio, Walter Ricciardi

Subject: Social Sciences, Psychology Keywords: patient engagement; consumer health; recommendation; consensus conference; guidelines; health services research

Online: 3 February 2020 (05:31:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202407.0778.v1

Enhancing Knowledge-Aware Recommendation with Dual-Graph Contrastive Learning

Jinchao Huang, Zhipu Xie, Han Zhang, Bin Yang, Chong Di, Runhe Huang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Dual-graph Learning; Contrastive Learning; Knowledge Graph; User-Item Graph; Recommendation System

Online: 10 July 2024 (10:54:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0378.v1

Non-stationary Transformer Architecture: A Versatile Framework for Recommendation Systems

Yuchen Liu, Gangmin Li, Terry R. Payne, Yong Yue, Ka Lok Man

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Non-stationary Transformer; Recommendation Systems; Deep Learning; Reinforcement Learning; User-centric Systems

Online: 7 May 2024 (11:42:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.0318.v1

AliAmbra – Enhancing Customer Experience through the Application of Machine Learning and Deep Learning Techniques for Survey Data Assessment and Analysis

Dimitris Mpouziotas, Jeries Besharat, Ioannis Tsoulos, Chrysostomos Stylios

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Grammatical evolution; Computational Intelligence; Neural networks; Feature Construction; Data Analysis; Recommendation System

Online: 4 January 2024 (03:08:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1367.v1

An Actor-Critic Hierarchical Reinforcement Learning Model for Course Recommendation

Kun Liang, Guoqiang Zhang, Jinhui Guo, Wentao Li

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: course recommendation; actor-critic method; hierarchical reinforcement learning method; policy gradient method

Online: 23 October 2023 (09:40:33 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.1728.v1

A Survey of Sequential Pattern Based E-Commerce Recommendation Systems

Christie I. Ezeife, Hemni Sri-Rajeswari Karlapalepu

Subject: Computer Science And Mathematics, Computer Science Keywords: Recommendation systems; collaborative filtering; sequential patterns; e-commerce; purchase and clickstream history

Online: 24 August 2023 (09:45:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1672.v1

Application of Recommendation System on E-Learning Platform Using Content-Based Filtering with Jaccard Similarity and Cosine Similarity Algorithms

Yohanes Leonardus Sukestiyarno, Hasballah Askar Sapolo, Hizir Sofyan

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Recommendation System, Content-Based Filtering, Jaccard Similarity, Cosine Similarity, Mean Absolute Error

Online: 23 June 2023 (11:59:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0388.v2

A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System

Vasiliki Demertzi, Konstantinos Demertzis

Subject: Computer Science And Mathematics, Information Systems Keywords: Adaptive Educational System; E-Learning; Machine Learning; Semantics; Recommendation System; Ontologies Matching.

Online: 24 August 2020 (09:46:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0550.v1

Agent-based Modeling of a Self-Organized Food Safety System

Kashif Zia, Dinesh Kumar Saini, Arshad Muhammad, Umar Farooq

Subject: Computer Science And Mathematics, Computer Science Keywords: Food Safety; Agent-Based Model; Social Networking; Recommendation; the wisdom of crowd.

Online: 31 August 2018 (14:37:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201709.0074.v1

Design and Development of a Context-aware Personalized Recommendation System: Mobile and Web Application

Sara Saeedi, Xueyang Zou, Mariel Gonzales, Steve Liang

Subject: Engineering, Electrical And Electronic Engineering Keywords: recommendation system; context awareness; location based services; mobile computing, cloud-based computing

Online: 18 September 2017 (08:54:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2180.v1

Optimizing E-Commerce with Multi-Objective Recommendations Using Ensemble Learning

Jiaxin Lu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: E-commerce; Multi-objective recommendation system; User behavior prediction; Ensemble learning; Sample imbalance

Online: 27 September 2024 (12:31:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1655.v1

Ethical AI in Financial Inclusion: The Role of Algorithmic Fairness on User Satisfaction and Recommendation

Qin Yang, Young-Chan Lee

Subject: Business, Economics And Management, Finance Keywords: artificial intelligence (AI); financial inclusion; ethical considerations; algorithmic fairness; user satisfaction; recommendation behavior

Online: 22 July 2024 (09:56:54 CEST)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202307.1206.v1

Elevating Cultural Tourism Recommendations: Exploring the Design and Evaluation of ACUX-R’s Mobile Graphical User Interface

Markos Konstantakis, John Aliprantis, Georgios Alexandridis, George Caridakis

Subject: Computer Science And Mathematics, Other Keywords: ACUX-R; graphical user interface; mobile application; cultural tourism; recommendation systems; visiting preferences; personalization

Online: 18 July 2023 (09:51:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1001.v3

Addressing the Limitations of News Recommendation System: Incorporating User Demographic for Enhanced Personalization

Zerihun Olana Asefa, Admas Abtew

Subject: Computer Science And Mathematics, Information Systems Keywords: news recommendation system; cold start problem; hybrid approach; demographic information; new users; popular news

Online: 18 July 2023 (07:42:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0063.v1

Customer Churn - Prevention Model

Julian Eduardo Grijalba Facundo

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Churn 1; customer churn; customer segmentation; churn prevention; predictive churn model; recommendation system engine.

Online: 2 June 2021 (10:03:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0016.v1

The Impact of Perceived Hapkido Service Quality on Exercise Continuation and Recommendation Intentions, with a Focus on Korean Middle and High School Students

Tae-Seung Park, Jun-Su Kim, Jiyoun Kim

Subject: Physical Sciences, Biophysics Keywords: keyword 1; Hapkido 2; Service Quality 3; Quality on Exercise Continuation 4; Recommendation Intentions

Online: 1 March 2021 (13:37:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0015.v1

Evaluation of Recommendation System for Sustainable E-Commerce: Accuracy, Diversity and Customer Satisfaction

Qinglong Li, Ilyoung Choi, Jaekyeong Kim

Subject: Business, Economics And Management, Business And Management Keywords: expectancy disconfirmation theory; customer satisfaction; e-commerce personalized service; recommendation system; deep neural network

Online: 2 January 2020 (05:34:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.1129.v1

Chinese Event Trigger Recommendation Model for High-Accuracy Applications

Jiashun Duan, Xin Zhang

Subject: Computer Science And Mathematics, Computer Science Keywords: event detection; event trigger recommendation; human–machine collaboration; span model; boundary smoothing; natural language processing

Online: 14 September 2024 (09:44:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.0892.v1

Tourism Itinerary Recommendation using Vehicle Routing Problem Time Windows Based on Shortest Path Method and Analytics Hierarchy Process

Surya Michrandi Nasution, Reza Rendian Septiawan, Fairuz Azmi

Subject: Engineering, Transportation Science And Technology Keywords: tourism itinerary; vehicle routing problem time windows; route recommendation; shortest path algorithm; analytics hierarchy process

Online: 12 December 2023 (12:49:28 CET)

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Preprint HYPOTHESIS | doi:10.20944/preprints202106.0119.v1

Customer Churn - Prevention Model – Recomendation Engine

JULIAN GRIJALBA FACUNDO

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Churn 1; customer churn; customer segmentation; churn prevention; predictive churn 20 model; recommendation system engine

Online: 3 June 2021 (14:57:01 CEST)

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Preprint HYPOTHESIS | doi:10.20944/preprints202106.0118.v1

Customer Churn - Prevention Model – Unsupervised Classification

JULIAN GRIJALBA FACUNDO

Subject: Computer Science And Mathematics, Analysis Keywords: Churn 1; customer churn; customer segmentation; churn prevention; predictive churn 21 model; recommendation system engine.

Online: 3 June 2021 (13:34:28 CEST)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202106.0113.v1

Customer Churn - Prevention Model – Prediction Model

Julian Eduardo Grijalba Facundo

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Churn 1; customer churn; customer segmentation; churn prevention; predictive churn 20 model; recommendation system engine.

Online: 3 June 2021 (12:48:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0687.v1

Empowering Consumer Decision: Decoding Incentive vs. Organic Reviews for Smarter Choices Through Advanced Textual Analysis

Kate Kargozari, Junhua Ding, Haihua Chen

Subject: Computer Science And Mathematics, Analysis Keywords: incentive, organic, online reviews, review quality, sentiment analysis, semantic links, A/B testing, decision-making, recommendation

Online: 12 February 2024 (14:15:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints201711.0033.v1

SRRTC: Social Recommendation Based on Relationship Transmission with Convergence Algorithm

Huakang Li, Yixiong Bian, Xiuying Xu, Guozi Sun

Subject: Computer Science And Mathematics, Information Systems Keywords: social recommendation; relationship graph; micro relation transfer model; macro relation transfer model; monte carlo decision tree

Online: 6 November 2017 (06:36:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0746.v1

Optimizing Session-Aware Recommenders: A Deep Dive into GRU-Based Latent Interaction Integration

Ming-Yen Lin, Ping-Chun Wu, Sue-Chen Hsueh

Subject: Computer Science And Mathematics, Information Systems Keywords: recommender system; session-aware recommendation; latent-context information; long-term and short-term preference; gated recurrent unit

Online: 12 December 2023 (05:09:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0081.v1

Preliminary Recommendations for National IUCN Red Listing Conservation Status of the “Dryophytes immaculatus group” in North East Asia

Amaël Borzée

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: Dryophytes immaculatus; Dryophytes suweonensis; Dryophytes flaviventris; Yellow sea; North East Asia; threat; amphibian; recommendation IUCN Red List

Online: 5 July 2020 (15:17:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0092.v1

Television Rating Control in the Multichannel Environment Using Trend Fuzzy Knowledge Bases and Monitoring Results

Olexiy Azarov, Leonid Krupelnitsky, Hanna Rakytyanska

Subject: Computer Science And Mathematics, Computer Science Keywords: TV channel rating; expert recommendation systems; fuzzy resources control; fuzzy classification knowledge bases; solving fuzzy relational equations

Online: 5 November 2018 (09:16:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202407.2199.v1

Evaluation and Optimization of Intelligent Recommendation System Performance with Cloud Resource Automation Compatibility

Kangming Xu, Haotian Zheng, Xiaoan Zhan, Shuwen Zhou, Kaiyi Niu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ; Cloud Computing; Recommendation Systems; Artificial Intelligence; Big Data

Online: 26 July 2024 (15:02:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201901.0294.v2

Data Preprocessing for Evaluation of Recommendation Models in E-Commerce

Namrata Chaudhary, Drimik Roy Chowdhury

Subject: Computer Science And Mathematics, Analysis Keywords: Data preprocessing; data validation; recommendation engine; E-commerce; Click-through rate; Buy-through rate; online customer behavior; non-parametric outlier removal; personalization

Online: 1 February 2019 (10:22:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.2095.v1

Developing A MQ‐LSTM Based Cultural Tourism Accelerator with Database Security

Professor. Shaik Rafi Ahamed, Fathe Jeribi, Uma Perumala, Mohammed Hameed Alhameed, Manjunatha Chari K

Subject: Engineering, Electrical And Electronic Engineering Keywords: cultural tourism (CT); multi‐quadratic‐long short term memory (MQ‐LSTM); social network sites (SNS); tourism recommendation (TR); geographic information system (GIS); Kriging interpolation‐based Chameleon (KIC)

Online: 1 November 2023 (02:31:44 CET)

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