https://videorecsys.com/
VideoRecSys 2024: Large-Scale Video Recommender Systems Workshop
Explore the future of video recommender systems with top researchers and industry experts in this workshop. Discover cutting-edge techniques and innovations....
large scalerecommender systemsvideoworkshop
https://apple.github.io/turicreate/docs/userguide/recommender/
Recommender Systems · GitBook
recommender systemsgitbook
https://recommender-systems.com/
RS_c – Recommender-Systems News and Curated Lists of Resources
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https://kuairec.com/
KuaiRec | A Fully-observed Dataset for Recommender Systems (Density: Almost 100%)
A Fully-observed Dataset for Recommender Systems (Density: Almost 100%)
recommender systemskuairecfullyobserveddataset
https://takuti.me/note/category/recommender-systems/
Recommender Systems | Takuya Kitazawa
I am a product builder, mentor, and advocate for sustainable technology development with a decade of experience in AI/ML products, data systems, and digital...
recommender systemstakuya
https://pure.bit.edu.cn/zh/publications/enhancing-robustness-and-generalization-capability-for-multimodal/
Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via...
recommender systemsenhancingrobustnessgeneralizationcapability
https://erik.bjareholt.com/wiki/importance-of-open-recommendation-systems/
The Importance of Open Recommender Systems - Erik Bjäreholt - Personal website
Blog, personal wiki, and stuff about me.
the importancerecommender systemsopenerikpersonal
https://courses.analyticsvidhya.com/courses/recommender-systems-with-python
Recommender Systems with Python
This course equips you with skills to build most popular recommender system algorithms, including how they work, how to use them, how to evaluate them, and...
recommender systemspython
https://courseswyn.com/coupon/435.amp/
Building Recommender Systems with Machine Learning and AI | 90
How to create machine learning recommendation systems with deep learning, collaborative filtering, and Python.. This is applicable to Recommendation Engine...
machine learning and airecommender systemsbuilding
https://www.moaijobs.com/job/2026-fall-applied-science-internship-recommender-systems-information-retrieval-machine-learning-united-states-phd-student-science-recruiting-amazon-9407
2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine...
Amazon is hiring a 2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science...
applied sciencerecommender systemsinformation retrievalfallinternship
https://www.manning.com/catalog/data-science/data-engineering/recommender-systems
Recommender Systems books | Manning
Learn more about Recommender Systems through expert-written books, eBooks, and practical guides for tech professionals.
recommender systemsbooksmanning
https://proceedings.neurips.cc/paper_files/paper/2023/hash/ebfabf372037aaa4a8d92c9b457ece3e-Abstract-Conference.html
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
recommender systemsrethinkingincentivesmonotonerewards
https://datacircuit.co/course/recommender-systems-with-machine-learning
Recommender Systems with Machine Learning
A complete course on recommender systems using ML with practical content and detailed code notebooks. The course is filled with two real-world projects with...
recommender systemsmachinelearning
https://ebusiness.univie.ac.at/research/publikationen-strauss/publikationen-detailansicht/pure/1a88d855-faf6-4a2a-b7dc-d1e87f294af1/show/publ/Pure/
Music Recommender Systems - Challenges and Opportunities for Non-Superstar Artists
Publikationen Detailansicht
challenges and opportunitiesrecommender systemsmusicnonsuperstar
https://aventis.learnworlds.com/course/aventis-metaverse-recommender-systems-ai-that-knows-your-preferences
Aventis Metaverse: Recommender Systems: AI That Knows Your Preferences
recommender systemsaventismetaverseaiknows
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
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https://www.expertsmind.com/library/recommender-systems-in-e-learning-along-with-references-52603009.aspx
Solution-Recommender systems in e-learning along with
USA homework help - Explain briefly and in depth - recommender systems in e-learning along with references and in text citations.
solution recommendersystemslearningalong
https://www.codecademy.com/learn/dsmlcj-22-supervised-learning-ii-sv-ms-rm-nb/modules/naive-bayes-classifier-skill-path-3ca45f60-810b-4e2a-b234-149f1c5d88f5-fab544fa-f232-4f73-bee4-aa3017772436/cheatsheet
Supervised Learning II: SVM's, Recommender Systems, Naive Bayes: Naive Bayes Classifier Cheatsheet...
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https://d1eu30co0ohy4w.cloudfront.net/alpicola/b-testing-for-recommender-systems
Offline A/B testing for Recommender Systems - Speaker Deck
a b testingrecommender systemsofflinespeakerdeck
https://www.hp-iq.com/join-us/5501276004
Senior Machine Learning Engineer, Recommender Systems | HP IQ
Want to work with us? Learn more about our values and how to get in touch.
machine learning engineerrecommender systemsseniorhpiq
https://repositori.urv.cat/estatic/TDX0011/es_TDX2634.html
Privacy-Preserving Crowdsourcing-Based Recommender Systems for E-Commerce & Health Services
Our society lives an age where the eagerness for information has resulted in problems such as infobesity, especially after the arrival of Web 2.0. In this...
recommender systemsprivacypreservingcrowdsourcingbased
https://vaccination.top/recommender-systems-for-vaccine-supply-chains-how-machine-le
Recommender Systems for Vaccine Supply Chains
Apr 12, 2026 - How machine learning, demand forecasting, and IoT can cut vaccine waste, prevent shortages, and improve clinic allocation decisions.
recommender systemsvaccinesupplychains
https://infoscience.epfl.ch/entities/publication/80031df1-9678-451f-8d63-d1ce90559697
From recommender systems to spatio-temporal dynamics with network science
Networks are data structures that are fundamental for capturing and analyzing complex interactions between objects. While they have been used for decades to...
recommender systemstemporaldynamicsnetworkscience
https://openscience.fr/Context-aware-recommender-systems-toward-a-context-typology
Context aware recommender systems - toward a context typology
The rise in volume of data and information from various sources requires effective information/data filtering to be closer to the user and best meet
context awarerecommender systemstowardtypology
https://101.school/courses/recommendation-systems/modules/1-introduction-to-recommender-systems/units/1-history-and-evolution-of-recommender-systems
Introduction to Recommender Systems / History and Evolution of Recommender Systems
Geneate a course of Recommender systems, teach from simple ranking algorithms from logistic regression to transformers. Discuss productinization details and...
history and evolutionrecommender systemsintroduction
https://repository.tudelft.nl/record/uuid:4e0e3a28-e369-4968-a018-82733ba9b363
Metrics for Evaluating Explainable Recommender Systems | TU Delft Repository
recommender systemstu delftmetricsevaluatingexplainable
https://milvus.io/ai-quick-reference/how-do-recommender-systems-work
How do recommender systems work?
Recommender systems predict user preferences by analyzing data patterns to suggest relevant items. They typically use th
how dorecommender systemswork
https://ijcaonline.net/archives/volume178/issue12/30614-2019918882/
Deep Learning Innovations in Recommender Systems - International Journal of Computer Applications
Recommender systems are one of the best choices to cope with the problem of information overload. These systems are commonly used in recent years help to match...
deep learningrecommender systemsinternational journalinnovations
https://arxiv.org/abs/2506.07517
[2506.07517] Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
Abstract page for arXiv paper 2506.07517: Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
addressingcorrelatedlatent