#recommendations articles

SSapotaCorpsapotacorpvn.hashnode.devJul 12 · 6 min read

MCP Cold Start: Recommendations Before the Data Arrives

A Marketing Cloud Personalization recommendation engine learns from behavior. View events, purchase events, cart events, search events. With enough volume across enough visitors over enough time, the

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SSapotaCorpsapotacorpvn.hashnode.devJul 12 · 7 min read

MCP Recipe Filters and Boosters: Tuning Without Conflicts

A Marketing Cloud Personalization recipe out of the box does a reasonable job. It returns items relevant to the placement and the visitor. Most production deployments need more than reasonable. The ma

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SSapotaCorpsapotacorpvn.hashnode.devMay 24 · 6 min read

MCP Einstein Recipes: A Selection Guide for Production Personalization

Marketing Cloud Personalization ships with around a dozen Einstein recipes out of the box. The product picker makes them all look interchangeable. They are not. Picking the right recipe for a placemen

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RLRisingWave Labsrisingwave.comApr 7 · 12 min read

Real-Time Features for Recommendation Ranking: Beyond Collaborative Filtering

Collaborative filtering is one of the most durable ideas in machine learning. User-item interaction matrices, matrix factorization, two-tower models built on implicit feedback -- these approaches work because they encode stable long-term preferences....

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MHMichael Hinettblog.wearequalis.co.ukJun 30, 2025 · 5 min read

Building Community: Fostering Social Inclusion in Supported Living Settings

Supported Living is about more than providing safe accommodation. It’s about helping people live fulfilling lives. For individuals with care needs, building friendships, learning new skills, and feeling part of a lively community can transform everyd...

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SCSin Consistenciathesincoblog.hashnode.devFeb 7, 2025 · 1 min read

You should use haxeflixel

Haxeflixel is an underrated language outside of Friday Night Funkin (at least I think so) and I think you should use it! I’ve been using it since maybe late 2022 early 2023? And it’s been a pretty cool language. It is very easy to learn if you are si...

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AWAhmad W Khanblog.ahmadwkhan.comDec 24, 2024 · 11 min read

My Top 3 Picks of 2024: Stories, Games, and Books

Here’s a roundup of my Top 3 Recommendations for Videogames, Books, Movies, TV Shows, and Comic Books from 2024. Some are new, some are old favorites revisited, but all have earned their spot on this list for the joy, thought, or inspiration they bro...

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SMSumit Mondalsumit007.hashnode.devMar 31, 2024 · 4 min read

A Beginner's Guide to Implementing AWS Personalize: Personalize Your User Experience Effortlessly

In today's digital age, providing personalized experiences to users has become paramount for businesses looking to stay ahead in the game. Thankfully, with the advent of cloud computing services like AWS (Amazon Web Services), implementing personaliz...

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HGHolomorphic Guyholomorphicguy.hashnode.devNov 30, 2023 · 2 min read

Choosing the Best Evaluation Metric for Your Basic Content-Based Filtering Recommendation System

The 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:...

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RMRohit Mehrareco.hashnode.devSep 7, 2023 · 2 min read

"Simplicity and Effectiveness: Unveiling EASE for Recommendation Systems"

In the world of recommendation systems, the quest for simplicity often leads to remarkable breakthroughs. The "Embarrassingly Shallow Autoencoders for Sparse Data," or EASE, is one such breakthrough that combines simplicity with state-of-the-art perf...

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Trending tags this week

MCP Cold Start: Recommendations Before the Data Arrives

MCP Recipe Filters and Boosters: Tuning Without Conflicts

MCP Einstein Recipes: A Selection Guide for Production Personalization

Real-Time Features for Recommendation Ranking: Beyond Collaborative Filtering

Building Community: Fostering Social Inclusion in Supported Living Settings

You should use haxeflixel

My Top 3 Picks of 2024: Stories, Games, and Books

A Beginner's Guide to Implementing AWS Personalize: Personalize Your User Experience Effortlessly

Choosing the Best Evaluation Metric for Your Basic Content-Based Filtering Recommendation System

"Simplicity and Effectiveness: Unveiling EASE for Recommendation Systems"

#recommendations

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#recommendations

Explore Hashnode

Trending tags this week

MCP Cold Start: Recommendations Before the Data Arrives

MCP Recipe Filters and Boosters: Tuning Without Conflicts

MCP Einstein Recipes: A Selection Guide for Production Personalization

Real-Time Features for Recommendation Ranking: Beyond Collaborative Filtering

Building Community: Fostering Social Inclusion in Supported Living Settings

You should use haxeflixel

My Top 3 Picks of 2024: Stories, Games, and Books

A Beginner's Guide to Implementing AWS Personalize: Personalize Your User Experience Effortlessly

Choosing the Best Evaluation Metric for Your Basic Content-Based Filtering Recommendation System

"Simplicity and Effectiveness: Unveiling EASE for Recommendation Systems"