Skip to main content
Ryan Orban

Ryan Orban

Subject
6 entries

Recommendations

Bookmarks

  1. near.blog/things: personal product recommendations

    A personal product recommendation list from blogger 'near' covering health, sleep, home, tech, and personal care items. The author emphasizes that almost everything is cheap and encourages solving problems through targeted purchases.

  2. Powering Search and Recommendations at DoorDash

    DoorDash's engineering blog post on their search and recommendation systems — covering how they rank restaurants and dishes, handle cold-start problems, and personalize results. A practical look at production recommendation systems at a major food delivery platform.

  3. Introduction to Personalized Search

    Recombee's introduction to personalized search — connecting the recommendation systems world to search, covering how behavioral signals (clicks, purchases) can be used to personalize result ranking per user. Bridges the gap between generic LTR and user-specific personalization.

  4. Recommending Music on Spotify with Deep Learning

    Sander Dieleman's write-up of his Spotify internship work — using convolutional neural networks on raw audio spectrograms to generate track embeddings for music recommendation. A landmark applied deep learning paper from 2014, before CNNs on audio became routine.

  5. Introduction to Recommendations with Map-Reduce and mrjob

    Tutorial on building item-based collaborative filtering recommendation systems using MapReduce and Yelp's mrjob Python library. Shows why distributed computation is necessary for large-scale similarity calculations.

  6. How to Get Hilary Mason to Build Your Recommender for Free

    Mortar Data's post on building a free recommender system using Hilary Mason's approach — a practical guide to collaborative filtering on Hadoop using Mahout. A snapshot of the state of accessible recommendation infrastructure in 2013.

All bookmarks