Lucylucy26.hashnode.dev·Nov 29, 2024Use Cases of Python in E-commercePython has emerged as a pivotal technology in e-commerce, enabling businesses to enhance customer experiences, streamline operations, and boost sales. This blog explores various use cases of Python in e-commerce, including personalized recommendation...DiscussPython
Pranjal Chaubeypranjal28.hashnode.dev·Oct 11, 2024Building a Time-Based Movie Recommendation System with BERT4RecMovie recommendation systems have become an essential part of everyday digital experiences. From helping us find our next favorite Netflix binge to discovering hidden gems on YouTube, recommendation algorithms play a pivotal role. Today, we're diving...Discuss·50 readsBERT
TJ Gokkentjgokken.com·Sep 27, 2024The Simple Math Powering Machine Learning: Euclidean DistanceDraw two points on a piece of paper and label them A and B. Use a ruler to connect them with a straight line, which represents the shortest distance between the two points known - that’s Euclidean distance. This simple idea is used in everything from...DiscussMachine Learning
Gayathri Selvaganapathiaienthusiast.hashnode.dev·Aug 31, 2024Building an Emotion-Based Music Recommender: A Step-by-Step GuideTable of Contents Introduction Project Overview Tools and Libraries Setting Up the Project Cloning the Repository Data Collection Training the Model Creating the Web App 5. Coding the Emotion Detection Logic Emotion Processor Class Load...Discuss·3 likesMachine Learning
Amey Poteameypote.hashnode.dev·Aug 1, 2024Lights, Camera, Algorithms: Developing a Content-Based Movie Recommendation SystemHey there! I'm Amey Pote, and I recently developed a content-based movie recommendation system as part of my machine learning journey. I wanted to share my experience and the steps I took to build this system, leveraging advanced pre-processing techn...Discuss·10 likesMachine Learning
Abhay Shuklaabhayshukla.com·Jun 12, 2024ReLoop: A Self-Correction Continual Learning Loop for Recommender SystemsIntroduction Models deployed to production often undergo re-training to learn from new user behaviors and improve the predictions. This training loop is demonstrated in the figure below, Training data is collected from user's implicit feedback such...Discussrecsys
Masoud Marandiblog.vectordbcloud.com·Jun 7, 2024What is a Vector Database?Introduction In the world of data storage and retrieval, databases play a crucial role in organising and managing information. Over the years, different types of databases have emerged to cater to specific needs and requirements. Traditional database...Discuss·53 readsvector database
Abhay Shuklaabhayshukla.com·Jun 2, 2024AITM: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display AdvertisingIn this post I summarise the ideas in the paper "Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising". You can find the full paper here. Recap In the previous post, we disc...DiscussEntire Space Multi-task Modelsrecsys
Souvik Mukherjeesouvik150.hashnode.dev·May 30, 2024Navigating Connections: A Beginner's Guide to Graph Databases with Neo4jIn today's data-driven world, managing and analyzing complex relationships efficiently is crucial. Traditional relational databases often struggle with handling connected data effectively. This is where graph databases shine, offering a more intuitiv...Discuss·38 readsNeo4j
Abhay Shuklaabhayshukla.com·May 23, 2024ESM2: Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate PredictionIn this post I summarise the ideas in the paper "Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction". You can find the paper here. Recap A quick recap of the previous paper discussed in the previous ...Discuss·81 readsEntire Space Multi-task Modelsrecsys
