PURVESH0110purvesh.hashnode.dev·Jan 31, 2024Movie Recommendation SystemIntroduction: In the era of digital streaming and abundant content choices, personalized movie recommendations have become indispensable. Machine Learning (ML) models play a crucial role in providing users with tailored suggestions based on their pre...Discuss·32 readsPython
Sugandha Kapoorforemnoblog.emno.io·Jan 27, 2024Vector Databases in Movie RecommendersRecommendation systems are all around us - they have become the default method for discovering and exploring new content. Whether it's listening to songs on Spotify, watching movies on Netflix, reading blogs on Medium, or shopping on Amazon, recommen...Discussthe-ai-advantage
Rufina Uchethelazytechie.hashnode.dev·Jan 17, 2024AI Recommender SystemsIn present times, personalized recommendations have become increasingly significant. From e-commerce platforms to entertainment services, businesses are utilizing recommender systems to enhance user experiences and drive engagement. In this article, ...DiscussArtificial IntelligenceAI
Aditya Kumarblog.thestartupdeveloper.co·Jan 16, 2024Building a Basic Recommendation Engine: No Machine Learning Knowledge Required!Recommendation systems have become an integral and indispensable part of our lives. These intelligent algorithms are pivotal in shaping our online experiences, influencing the content we consume, the products we buy, and the services we explore. Whet...Discuss·7 likes·459 readsAI
Sugandha Kapoorforemnoblog.emno.io·Jan 11, 2024Recommendation Systems 101: Content & Collaborative Filtering MethodsRecommendation systems are like our savvy friends who know our tastes and preferences. They're the backbone of platforms like Netflix and Amazon, guiding us to our next favorite movie or product. Today, these systems are a necessity in our digital-fi...DiscussAI in Business
Oluwaseyi Ogunnowodataking.hashnode.dev·Jan 5, 2024Building Recommers with Explicit Feedback Using Tensorflow: A Supervised ML, Regression ApproachIntroduction In today's world, there is so much content to enjoy. Because of this, choosing what to watch, listen to, or even read is harder (the paradox of choice). Simply go to Netflix and choose a movie to watch among so many options, see how easy...Discuss·17 likes·61 readsData Science
Niranjan Akellaniranjanakella.hashnode.dev·Dec 22, 2023Exploring Personalized Shopping Experiences with Qdrant's Discovery APIIntroduction In the rapidly growing e-commerce landscape, delivering personalized shopping experiences has become one of the key differentiators for success. In this article, we dive deep into the functionality of Qdrant’s new Discovery API, mainly f...Discusse-commerce
Holomorphic Guyholomorphicguy.hashnode.dev·Nov 30, 2023Choosing the Best Evaluation Metric for Your Basic Content-Based Filtering Recommendation SystemThe use of a combination of Euclidean distance and cosine similarity in recommendation systems offers distinct advantages and enhanced performance due to their unique characteristics in analyzing data. Euclidean Distance: Magnitude-based Similarity:...Discussrecommendations
Kavach Dheerkavachdheer.hashnode.dev·Nov 22, 2023One stop destination for Reccomendation SystemA one stop destination for Recommendation Systems Your one stop destination to gain all the knowledge you need from the basics of recommendation system to going in depth to Major types of recommendation system. Lets start first with what is recommend...Discussrecommender-systems
Avik Kundublog.avikkundu.in·Nov 20, 2023From Data to Decisions: Leveraging Amazon Personalize for Recommendation SystemsIntroduction In an era dominated by personalized experiences, recommendation systems have become essential for businesses seeking to engage and retain customers. Amazon Personalize is a leading solution, offering advanced machine learning capabilitie...DiscussAWS recommender-systems