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https://pure.ups.edu.ec/en/publications/clustering-sparse-matrices-using-dimensional-reduction-in-recomme/ Clustering Sparse Matrices Using Dimensional Reduction in Recommender Systems - Universidad... recommender systems clustering sparse matrices using https://arxiv.org/abs/2508.02096 [2508.02096] Evaluating User Experience in Conversational Recommender Systems: A Systematic Review... Abstract page for arXiv paper 2508.02096: Evaluating User Experience in Conversational Recommender Systems: A Systematic Review Across Classical and... a systematic review user experience recommender systems evaluating conversational https://www.iza.org/de/publications/dp/17245/measuring-bias-in-job-recommender-systems-auditing-the-algorithms Measuring Bias in Job Recommender Systems: Auditing the Algorithms | IZA@LISER Network We audit the job recommender algorithms used by four Chinese job boards by creating fictitious applicant profiles that differ only in their gender. Jo... recommender systems the algorithms measuring bias job https://researchr.org/publication/RichthammerSP17 Interactive Visualization of Recommender Systems Data - researchr publication interactive visualization recommender systems data researchr publication https://kinit.sk/publication/reducing-the-sparsity-of-contextual-information-for-recommender-systems/ Reducing the sparsity of contextual information for recommender systems - KInIT information for recommender systems reducing contextual kinit https://bia.unibz.it/esploro/outputs/conferenceProceeding/Editorial-message-Special-Track-on-Recommender/991006492887501241 Editorial message: Special Track on Recommender Systems: Theory, User Interactions and Applications... Mar 30, 2020 - The Track on Recommender Systems: Theory, User Interactions and Applications at ACM/SIGAPP Symposium on Applied Computing (ACM SAC) 2020 provides a dedicated... editorial message recommender systems user interactions special track https://journal.univetbantara.ac.id/index.php/ijimm/article/view/7405/3768 View of Ontology-Based Recommender Systems for E-Learning and Multimedia: A Systematic Literature... recommender systems view ontology based learning https://www.remotejobassistant.com/jobs/data-science-intern-personalization-recommender-systems-faire-ry6y Data Science Intern (Personalization & Recommender Systems) at Faire (Closed) | RemoteJobAssistant About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively... data science intern recommender systems personalization faire closed https://researchportal.vub.be/en/publications/mitigating-misleadingness-in-llm-generated-natural-language-expla/projects/ Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems:... natural language recommender systems llm generated explanations https://www.coursera.org/learn/basic-recommender-systems Basic Recommender Systems | Coursera The Basic Recommender Systems course introduces you to the leading approaches in recommender systems. The techniques described touch both ... Enroll for free. recommender systems basic coursera https://theses.ubn.ru.nl/items/b7189270-7b1e-4bfc-9b85-0778404026ab What do you want to want? Simulating User-Directed Preference Change in Recommender Systems In this thesis we reviewed the problem of recommender system-induced preference change and presented user-directed preference change as a solution. We argue... recommender systems want simulating user directed https://catalog.umb.edu/preview_course_nopop.php?catoid=44&coid=241891 CS 435 - Recommender Systems - A complete listing of academic programs, courses, policies, and resources for UMass Boston students, faculty, and staff. recommender systems cs https://www.ijcai.org/proceedings/2018/464 Improving Implicit Recommender Systems with View Data | IJCAI Electronic proceedings of IJCAI 2018 recommender systems view data improving implicit ijcai https://www.medialaws.eu/recommender-systems/ recommender systems Archivi - MediaLaws recommender systems archivi https://research.tue.nl/en/studentTheses/reimaging-recommender-systems/ Reimaging Recommender Systems - Research portal Eindhoven University of Technology university of technology recommender systems research portal eindhoven https://experts.umn.edu/en/publications/incorporating-contextual-information-in-recommender-systems-using/ Incorporating contextual information in recommender systems using a multidimensional approach -... recommender systems incorporating contextual information using https://pure.psu.edu/en/publications/planning-data-poisoning-attacks-on-heterogeneous-recommender-syst/ Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting -... planning data recommender systems poisoning attacks multiplayer https://lore.list.lu/dataset.xhtml?persistentId=perma:LIST.ZOBZMX Differentially private neighborhood-based recommender systems [* Cross-Reference *] - LIST Open... Dec 9, 2025 - In this paper, we apply the differential privacy concept to neighborhood-based recommendation methods (NBMs) under a probabilistic framework. We first present... recommender systems cross reference private neighborhood based https://openreview.net/forum?id=7z4fsUMhQh&referrer=%5Bthe%20profile%20of%20Moshe%20Unger%5D(%2Fprofile%3Fid%3D~Moshe_Unger1) CARS: Workshop on Context-Aware Recommender Systems 2022 | OpenReview Contextual information has been widely recognized as an important modeling dimension in social sciences and in computing. In particular, the role of context... recommender systems cars workshop context aware https://www.aijobsaustralia.com.au/jobs/10bb41ad-4049-4685-bdb1-1a7751b9591c 2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine... Are you excited about leveraging state-of-the-art Deep Learning, Recommender Systems, Information Retrieval, Natural Language Processing algorithms on large dat applied science machine learning recommender systems amazon international https://www.designsociety.org/publication/45919/recommender_systems_for_variant_management_in_the_automotive_industry Recommender Systems for Variant Management in the Automotive Industry / Publications / Knowledge... Thorsten Schmidt, Anastasia Marbach, Frank Mantwill the automotive industry recommender systems variant management publications https://research.uniupo.it/en/publications/clustering-users-by-exploiting-activity-tracks-in-recommender-sys-3/ Clustering Users by exploiting Activity Tracks in Recommender Systems for SME - University of... activity tracks recommender systems for sme university of clustering https://www.readkong.com/page/mobrec-mobile-platform-for-decentralized-recommender-8002756 MOBREC - MOBILE PLATFORM FOR DECENTRALIZED RECOMMENDER SYSTEMS - DEPOSITONCE Page topic: "MOBREC - MOBILE PLATFORM FOR DECENTRALIZED RECOMMENDER SYSTEMS - DEPOSITONCE". Created by: Sharon Robinson. Language: english. mobile platform recommender systems decentralized https://www.ing.uc.cl/publicaciones/interactive-recommender-systems-a-survey-of-the-state-of-the-art-and-future-research-challenges-and-opportunities/ Interactive recommender systems: A survey of the state of the art and future research challenges... recommender systems a survey the state future research interactive https://www.infovis.org/archives/list/infovis@infovis.org/thread/GFE7ZE37B6G6W4FCKTIBLSEQ6PZJYGQN/ ACM RecSys 2012 Workshop on Interfaces for Recommender Systems (InterfaceRS'12) - Infovis -... recommender systems acm workshop interfaces infovis https://www.sciweavers.org/publications/case-based-reasoning-prediction-strategy-hybrid-recommender-systems/keyword-traffic/recent Keyword Traffic - Case-Based Reasoning as a Prediction Strategy for Hybrid Recommender Systems |... This page shows the keyword traffic from major search engines for Case-Based Reasoning as a Prediction Strategy for Hybrid Recommender Systems on Sciweavers... keyword traffic recommender systems case based reasoning https://www.computer.org/publications/tech-news/research/exercise-routes-smart-city-recommender-system Smart City Fitness Recommender Systems: A New Generation of Healthcare Apps is Coming The Context-Aware Recommender System (CARS) offers advice and recommended fitness routes using crowdsourcing and smart city sensors. a new generation smart city recommender systems healthcare apps fitness https://www.educative.io/courses/intro-data-science-machine-learning/deep-learning-and-recommender-systems Deep Learning and Recommender Systems in Machine Learning Explore deep learning principles and how recommender systems predict user preferences using methods like collaborative filtering and neural networks. deep learning recommender systems machine https://newsroom-deezer.com/2022/01/explainability-in-music-recommender-systems/ Explainability in Music Recommender Systems - Deezer Newsroom Jan 25, 2022 - The most common way to listen to recorded music nowadays is via streaming platforms which provide access to tens of millions of tracks. To assist users in... in music recommender systems explainability deezer newsroom https://research.facebook.com/publications/preference-amplification-in-recommender-systems/?_fb_noscript=1 Preference Amplification in Recommender Systems - Meta Research We propose a theoretical framework for studying such amplification in a matrix factorization based recommender system. We model the dynamics of the system,... recommender systems preference amplification meta research https://cris.haifa.ac.il/en/publications/social-recommender-systems-recommendations-in-support-of-e-learni-2/ Social Recommender Systems: Recommendations in Support of E-Learning - University of Haifa in support of recommender systems social recommendations learning https://fxis.ai/edu/how-to-utilize-buffalo-for-your-recommender-systems/ How to Utilize Buffalo for Your Recommender Systems fxis.ai Apr 4, 2021 - How to Utilize Buffalo for Your Recommender Systems how to utilize for your recommender systems buffalo ai https://gdg.community.dev/events/details/google-gdg-oxford-presents-google-developer-group-series-recommender-systems-in-the-age-of-ai-1/ See Google Developer Group Series: Recommender Systems in the Age of AI (1) at Google Developer... Google Developer Groups GDG Oxford presents Google Developer Group Series: Recommender Systems in the Age of AI (1) | Oct 19, 2025. Find event and ticket... age of ai recommender systems see google developer https://researchrepository.ucd.ie/entities/publication/a7c4dc3b-122c-4f4a-acc7-c369cd52465f A Distributed Asynchronous Deep Reinforcement Learning Framework for Recommender Systems In this paper we propose DADRL, a distributed, asynchronous reinforcement learning recommender system based on the asynchronous advantage actor-critic model... reinforcement learning recommender systems distributed asynchronous deep https://ris.uni-paderborn.de/record/61530 Towards a Model of Polarization Reduction with Recommender Systems recommender systems towards model polarization reduction https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42373/ Multi-objective Optimization to Boost Exploration in Recommender Systems S42373 | GTC Digital... Recommender systems are the backbone of personalized services that provide tailored experiences to individual users recommender systems multi objective optimization boost https://spectrum.library.concordia.ca/id/eprint/986588/ Inverse Integer Optimization With an Application in Recommender Systems - Spectrum: Concordia... recommender systems inverse integer optimization application https://research.jku.at/en/projects/multiperspective-calibration-of-popularity-in-recommender-systems/ Multiperspective Calibration of Popularity in Recommender Systems - JKU & KUK Research Portal recommender systems research portal calibration popularity jku https://aiwiki.ai/categories/Recommender%20systems Recommender systems | AI Wiki Browse AI Wiki articles in the Recommender systems category. recommender systems ai wiki https://research.brighton.ac.uk/en/studentTheses/dynamic-multi-concept-user-profile-modelling-in-research-paper-re/ Dynamic multi-concept user profile modelling in research paper recommender systems - The University... user profile in research recommender systems the university dynamic https://repository.daystar.ac.ke/items/6ed9942f-f6da-43d1-a8b5-5afd3df53fcb A Bisociated Domain-Based Serendipitous Novelty-Recommendation Technique for Recommender Systems Traditional recommendation paradigms such as content-based filtering (CBF) tend to recommend items that are very similar to user profile characteristics and... recommender systems domain based serendipitous novelty https://www.ce.cit.tum.de/en/cm/teaching/seminar-interactive-recommender-systems-ss-2020-in2107-in4888/ Seminar Interactive Recommender Systems SS 2020 (IN2107, IN4888) - Chair of Connected Mobility recommender systems connected mobility seminar interactive ss https://experts.arizona.edu/en/publications/triple-adversarial-learning-for-influence-based-poisoning-attack-/ Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems -... learning for recommender systems triple adversarial influence https://perfilesycapacidades.javeriana.edu.co/es/publications/xplodiv-an-exploitation-exploration-aware-diversification-approac/ XPLODIV: An exploitation-exploration aware diversification approach for recommender systems -... recommender systems exploitation exploration aware diversification https://research.buaa.edu.cn/zh/publications/pre-training-recommender-systems-via-reinforced-attentive-multi-r/ Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network -... pre training recommender systems neural network via reinforced https://www.amazon.science/publications/towards-simulation-based-evaluation-of-recommender-systems-with-carousel-interfaces Towards simulation-based evaluation of recommender systems with carousel interfaces - Amazon Science Offline data-driven evaluation is considered a low-cost and more accessible alternative to the online empirical method of assessing the quality of recommender... recommender systems amazon science towards simulation based https://etasr.com/index.php/ETASR/article/view/10825/5037 Fuzzy Logic Approach to Cold-Start Challenges in Deaf and Hard of Hearing Recommender Systems |... hard of hearing fuzzy logic cold start recommender systems approach https://www.eurecom.fr/fr/publication/6242 Knowledge graph embeddings for recommender systems | EURECOM knowledge graph recommender systems embeddings eurecom https://bytez.com/docs/arxiv/1812.11422/paper Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation... Dec 29, 2018 - The paper introduces a new recommendation system called TC-CML that takes into account not just the items users like but also the ones they dislike. By... loss aversion recommender systems user preference to improve utilizing https://www.fib.upc.edu/en/masters/master-data-science/curriculum/syllabus/IRRS-MDS Information Retrieval and Recommender Systems | FIB - Barcelona School of Informatics information retrieval recommender systems fib barcelona school https://papers.nips.cc/paper_files/paper/2017/hash/dbd22ba3bd0df8f385bdac3e9f8be207-Abstract.html DropoutNet: Addressing Cold Start in Recommender Systems cold start recommender systems addressing https://kindatechnical.com/recommender-systems/index.html kindatechnical() | A Guide to Recommender Systems - All Topics kindatechnical() | A Guide to Recommender Systems - All Topics a guide to recommender systems all topics https://digital.library.adelaide.edu.au/items/2a10e12e-c84c-446c-8f83-d45afea8e19e Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems It is often challenging to identify a valid instrumental variable (IV), although the IV methods have been regarded as effective tools of addressing the... recommender systems interaction data guided conditional https://research.tudelft.nl/en/activities/10th-acm-conference-on-recommender-systems-recsys-2016/ 10th ACM Conference on Recommender Systems, RecSys 2016 - TU Delft Research Portal recommender systems tu delft research portal acm conference https://folia.unifr.ch/unifr/documents/329048 User Perceptions of News Recommender Systems and Trust in Media Outlets: A Five-Country Study |... The SONAR project aims to create a scholarly archive that collects, promotes and preserves the publications of authors affiliated with Swiss public research... trust in media recommender systems user perceptions news https://lrec.elra.info/lrec2018-main-444 A Large Multilingual and Multi-domain Dataset for Recommender Systems - LREC 2018 | LREC - Language... May 1, 2018 - This paper presents a multi-domain interests dataset to train and test Recommender Systems, and the methodology to create the dataset from Twitter messages in E recommender systems large multilingual domain dataset https://www.semantic-web-journal.net/content/semantics-aware-shilling-attacks-against-collaborative-recommender-systems-knowledge-graphs Semantics-Aware Shilling Attacks against collaborative recommender systems via Knowledge Graphs |... recommender systems knowledge graphs semantics aware attacks https://scholarworks.aub.edu.lb/items/d0221b7a-4d91-406d-b484-b45c09162991 Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems Although demonstrated to be efficient and scalable to large-scale data sets, clustering-based recommender systems suffer from relatively low accuracy and... recommender systems leveraging multiviews trust similarity https://cordis.europa.eu/project/id/101106164/results Fairness and Explanations in Group Recommender Systems. Towards Trustworthiness and transparency |... Deliverables, publications, datasets, software, exploitable results in group recommender systems fairness explanations towards https://www.r-bloggers.com/2018/08/introduction-to-recommender-systems/ Introduction to recommender systems | R-bloggers Aug 20, 2018 - Why build a recommender system? The most wonderful and most frustrating characteristic of the Internet is its excessive supply of content. As a result, many of... introduction to recommender systems bloggers https://ricerca.uniba.it/handle/11586/111576 Learning Preference Models in Recommender Systems recommender systems learning preference models https://zilliz.com/ai-faq/how-do-recommender-systems-work How do recommender systems work? - Zilliz Vector Database Recommender systems are tools that help users discover items they may find intriguing based on their preferences and beh recommender systems vector database work zilliz https://researchwith.stevens.edu/en/publications/equipping-recommender-systems-with-individual-fairness-via-second/ Equipping Recommender Systems with Individual Fairness via Second-order Proximity Embedding -... recommender systems equipping individual fairness via https://scholar.smu.edu/datasciencereview/vol1/iss4/1/ "A Comparative Evaluation of Recommender Systems for Hotel Reviews" by Ryan Khaleghi, Kevin Cannon... There has been increasing growth in deployment of recommender systems across Internet sites, with various models being used. These systems have been... recommender systems for hotel kevin cannon comparative evaluation https://www.manning.com/catalog/data-science/data-engineering/recommender-systems?slug=event-processing-in-action&productType=COMBO Recommender Systems books | Manning Learn more about Recommender Systems through expert-written books, eBooks, and practical guides for tech professionals. recommender systems books manning https://www.polibits.cidetec.ipn.mx/ojs/index.php/polibits/article/view/51-10/2328 Applying the Technology Acceptance Model to Evaluation of Recommender Systems | Armentano | POLIBITS Applying the Technology Acceptance Model to Evaluation of Recommender Systems the technology recommender systems applying acceptance model https://www.catalyzex.com/paper/recbundle-a-next-generation-geometric RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems: Paper and Code. Recommender systems are inherently dynamic feedback loops... next generation recommender systems geometric paradigm https://cris.fbk.eu/handle/11582/727 Travel recommender Systems recommender systems travel https://experts.colorado.edu/display/pubid_305454 Exploring User Opinions of Fairness in Recommender Systems. | CU Experts | CU Boulder user opinions recommender systems exploring fairness cu https://blockgeni.com/tutorial-recommender-systems-in-python/ Recommender Systems in Python - Blockgeni Nov 22, 2022 - The purpose of this tutorial is not to make you an expert in building recommender system models. Instead, the motive is to get you started by giving you an recommender systems python https://www.techscience.com/cmc/v64n3/39457 CMC | Adversarial Attacks on Content-Based Filtering Journal Recommender Systems Recommender systems are very useful for people to explore what they really need. Academic papers are important achievements for researchers and they often have... recommender systems cmc adversarial attacks content https://deepai.org/publication/heterogeneous-information-crossing-on-graphs-for-session-based-recommender-systems Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems | DeepAI Oct 24, 2022 - 10/24/22 - Recommender systems are fundamental information filtering techniques to recommend content or items that meet users' personalities ... recommender systems information crossing graphs session https://www.subsdy.com/grants/support-contract-on-transparency-requirements-for-recommender-systems-under-articles-27-and-38-dsa Support contract on transparency requirements for recommender systems under Articles 27 and 38 DSA... Aug 30, 2025 - The opportunity presented is a procurement contract from the European Commission under the title "Support contract on transparency requirements for recommender... support contract transparency requirements recommender systems articles dsa https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2023.1245198/full Frontiers | Fairness of recommender systems in the recruitment domain: an analysis from technical... Recommender systems (RSs) have become an integral part of the hiring process, be it via job advertisement ranking systems (job recommenders) for the potentia... recommender systems an analysis frontiers fairness recruitment https://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/EECS-2022-178.html The Dynamics of Recommender Systems | EECS at UC Berkeley recommender systems uc berkeley dynamics eecs https://researchportal.ip-paris.fr/fr/publications/prince-provider-side-interpretability-with-counterfactual-explana/ Prince: Provider-side interpretability with counterfactual explanations in recommender systems -... counterfactual explanations recommender systems prince provider side https://livetalent.org/elearning-course/basic-recommender-systems/ Basic Recommender Systems - LiveTalent.org Learn the leading approaches in recommender systems with this course. Discover algorithms, evaluate and improve systems, and consider ethical issues. Enhance... recommender systems basic