List: Search and Recommendation | Curated by Marie Stephen Leo

Aug 16, 2022

11 stories

Search and Recommendation
FunCorp
Practical Guide to Create a Two-Layered Recommendation SystemA developer’s perspective (MLOps inside)
Jun 8, 2022
Jun 8, 2022
In
Netflix TechBlog
by
Netflix Technology Blog
Reinforcement Learning for Budget Constrained Recommendationsby Ehtsham Elahi
with James McInerney, Nathan Kallus, Dario Garcia Garcia and Justin Basilico
Aug 15, 2022
2
Aug 15, 2022
2
In
TDS Archive
by
Samuel Flender
Learning to rank: A primerThe algorithms that power search engines, recommender systems, social media feeds and ads
Apr 4, 2022
Apr 4, 2022
Sebastian
Gain valuable corporate insights from a 10-k report in 5 easy steps with dense passage retrievalIn this article, we are going to help a sales account executive Phil extract useful knowledge from corporate annual report pdfs.
Apr 17, 2022
3
Apr 17, 2022
3
In
Fnplus Club
by
Rakesh4real
Real-World Challenges and their Solutions — Part 12A Practical Approach To Recommendation Systems
Jul 29, 2019
Jul 29, 2019
In
TDS Archive
by
Parul Pandey
Recommendation Systems in the Real worldAn overview of the process of designing and building a recommendation system pipeline.
May 17, 2019
7
May 17, 2019
7
Abhinay Dronavalli
Elasticsearch In Production — Deployment Best PracticesElasticsearch is an amazing real time search and analytics engine. It is built on Apache Lucene. It is distributed, RESTful, easy to start…
Jan 5, 2018
10
Jan 5, 2018
10
Nikhil Dandekar
Search, recommendations and a fault tolerant UXA few weeks ago, Chris Dixon laid out the idea maze for AI startups. Relevance products like search and recommendation engines are, in a…
Mar 12, 2015
1
Mar 12, 2015
1
Nikhil Dandekar
Personalization in Search and RecommendationsWhat is Personalized Relevance? When and Where should you use it?
Jan 8, 2015
1
Jan 8, 2015
1
In
Towards AI
by
Jesus Rodriguez
The Machine Learning Powering Recruiting Recommendations at LinkedInAn overview of the machine learning architecture and techniques behind LinkedIn Recruiter.
Dec 7, 2021
1
Dec 7, 2021
1
In
syte_engineering
by
Einav Tamam
Case Study: Using Learning to Rank to Improve Item Ranking With Elasticsearch and RankLibAs shoppers — and as the people building recommendation systems — we always want to see (or to show) the most relevant items on top in any…
Apr 5, 2022
1
Apr 5, 2022
1

Search and Recommendation

Practical Guide to Create a Two-Layered Recommendation System

A developer’s perspective (MLOps inside)

Reinforcement Learning for Budget Constrained Recommendations

by Ehtsham Elahi with James McInerney, Nathan Kallus, Dario Garcia Garcia and Justin Basilico

Learning to rank: A primer

The algorithms that power search engines, recommender systems, social media feeds and ads

Gain valuable corporate insights from a 10-k report in 5 easy steps with dense passage retrieval

In this article, we are going to help a sales account executive Phil extract useful knowledge from corporate annual report pdfs.

Real-World Challenges and their Solutions — Part 12

A Practical Approach To Recommendation Systems

Recommendation Systems in the Real world

An overview of the process of designing and building a recommendation system pipeline.

Elasticsearch In Production — Deployment Best Practices

Elasticsearch is an amazing real time search and analytics engine. It is built on Apache Lucene. It is distributed, RESTful, easy to start…

Search, recommendations and a fault tolerant UX

A few weeks ago, Chris Dixon laid out the idea maze for AI startups. Relevance products like search and recommendation engines are, in a…

Personalization in Search and Recommendations

What is Personalized Relevance? When and Where should you use it?

The Machine Learning Powering Recruiting Recommendations at LinkedIn

An overview of the machine learning architecture and techniques behind LinkedIn Recruiter.

Case Study: Using Learning to Rank to Improve Item Ranking With Elasticsearch and RankLib

As shoppers — and as the people building recommendation systems — we always want to see (or to show) the most relevant items on top in any…

Marie Stephen Leo