Top Tweets for #RecommenderSystem
π§ Read #HighlyCitedArticle "Personality-Aware Course Recommender System Using Deep Learning for Technical and Vocational Education and Training" by Rana Hammad Hassan, et al.
See more details at:
https://t.co/21L3Ju2y0o
#RecommenderSystem #DL #BigFivePersonalit
@ComSciMath_Mdpi
Teilnehmer fΓΌr Online-Studie gesucht!
Thema: "User-Experienced Serendipity in Recommender-Systemen" via @SurveyCircle #pfh_goettingen
#UserExperience #serendipity #RecommenderSystem
π’ #highlycited paper
π A Multimodal #RecommenderSystem Using #DeepLearning Techniques Combining Review Texts and Images
π https://t.co/w1xxn6Ohiw
π¨βπ¬ by Euiju Jeong et al.
π« Kyung Hee University/University of British Columbia
#multimodalreview #complementarity
DEPLOYED : Built and Dockerized a Hybrid Recommendation System
Tech Stack:
β FastAPI backend
β Hybrid ML recommender
β Docker containerization
β Production API service
Check this now
https://t.co/QV11ngcQSq
#AI #MachineLearning #Docker #FastAPI #RecommenderSystem
Day 3 DONE π₯
Built HYBRID Recommendation System.
Combined:
β Product similarity (content-based)
β User behavior (collaborative filtering)
This is how Netflix & Amazon design recommender engines.
#AI #MachineLearning #RecommenderSystem #Python #DataScience
Day 2 Complete:
Built Collaborative Filtering Recommendation System.
What I implemented:
β User-Item Matrix
β Cosine Similarity
β Behavioral recommendation logic
#AI #MachineLearning #RecommenderSystem #Python #LearningInPublic
Day 1 complete π Built my first E-commerce Recommendation Engine ππ₯
What I implemented:
β Product similarity using cosine similarity
β Feature normalization
β Real recommendation logic
β Production-style ML pipeline
#MachineLearning #AI #Python #RecommenderSystem
Today I explored Recommender Systems how platforms like Netflix/Amazon personalize suggestions.
Learned the basics of content based, collaborative, and hybrid filtering and how they solve challenges like coldstart and data sparsity#Python #MachineLearning #AI #RecommenderSystem
π Day 56 β 100 Days of ML
Built an E-commerce Product Recommendation System using CatBoost π‘
Learning from @geeksforgeeks Nation Skill-Up
πCourse: https://t.co/WEOoRR24G7
#100DaysOfML #MachineLearning #CatBoost #RecommenderSystem #nationskillup #skillupwithgfg
Part of the EU project MASTERPIECE, Recomme guides individuals through an interactive journey to explore their energy habits and motivations.
Personalized insights, one question at a time.
#Recomme #MASTERPIECE #EnergyCommunities #RecommenderSystem
Presenting a method for book recommendations using emotion information from single-source and multi-source media: βLiterature Books #RecommenderSystem using #CollaborativeFiltering and Multi-Source Reviewsβ by ER LuΘan, C. BΔdicΔ. ACSIS Vol. 39 p. 225β230; https://t.co/JyXuQuxk3E
Hello Readers! πβ¨
Ever stuck on what to read next?π₯
πPresenting a Book Recommender that uses genre, author , description etc. β to suggest your next favorite read π
Python | Pandas | NumPy | Scikit-learn | Flask | HTML/CSS
#RecommenderSystem #AI #ML #WebDev #Flask π―
Find out how a simple sound survives a data-driven Hunger Games to make it to your feed. Full breakdown in the blog.
π : https://t.co/J3NsJiUC7U
#AudioProcessing #RecommenderSystem
π§ Just built my own Music Recommendation System πΆ
β¨ Preprocessed & tokenized lyrics + artist names
β¨ Vectorized lyrics with TF-IDF
β¨ Found song closeness using cosine similarity
Type a song β get instant vibes back! π₯
#MachineLearning #NLP #RecommenderSystem
Yandex has released Yambda-5B, a dataset boasting 4.8 billion interactions. But its size isn't the real story. The true game-changer is the `is_organic` flag, set to revolutionize recommender system analysis. #recommendersystemβ¦
π₯ Read our Highly Cited Paper
πA Multimodal Recommender System Using #DeepLearning Techniques Combining Review #Texts and #Images
πhttps://t.co/w1xxn6Ohiw
π¨βπ¬byΒ Euiju Jeong et al.
@kh_univ
#recommendersystem #multimodalreview
Building a recommender system at scale? π
Check out:
πΉ TensorFlow Recommenders (TFRS)
πΉ PyTorch TorchRec
πΉ NVIDIA Merlin
πΉ Apache Mahout
πΉ Implicit (matrix factorization)
πΉ LightFM
#RecommenderSystem #MachineLearning #AI #MLOps #DataScience #RecommendationEngine
π Just built a Movie Recommendation System using Machine Learning!
This system suggests movies based on user preferences & similarity scores π¬β¨
π Tech used: Python, Pandas, Scikit-learn, Streamlit
π₯ Demo below β¬οΈ
#MachineLearning #DataScience #Python #RecommenderSystem
I built a Book Recommendation System following MLOps best practices β pipelines, modular structure, and all.
This isnβt just another single Python file. Itβs production-aware.
π Try it out here: https://t.co/N6xWDLGr9b
#MLOps #MachineLearning #RecommenderSystem #AI #Python
Built a π Book Recommender App using #Streamlit + #MachineLearning!
β
Collaborative filtering
β
Live recommendations
β
Clean UI with fallback handling
https://t.co/vArDGVZgxH
#Python #AI #DataScience #RecommenderSystem
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