Excellent talks on each of the presenting companies approach the design of their recommendation engines based on the specifics of their markets and users
Recommendation Engines
Thursday, Apr 4, 2013, 6:30 PM
Pandora HQ
2101 Webster Street, Suite 1650 Oakland, CA
200 Data Scientists Went
6:30 – 7:00pm Social and Food7:00 – 8:30pm Talks**8:30 – 9:00pm SocialWe’re excited to have three sets of speakers:1. Trulia: Todd Holloway will be giving a talk on Trulia Suggest.2. Rich Relevance: John Jensen and Mike Sherman will be giving their perspectives on recommendation engines.3. Pandora: Eric Bieschke will be giving his perspec…
Here are my notes on their respective technology stacks. Hadoop, Hive, Memcached, Java are used by all 3.
1. Trulia: Todd Holloway on Trulia Suggest.
- Hadoop
- Hive
- R on each Hadoop Server
- Memcached
- Java
2. Rich Relevance: John Jensen and Mike Sherman
- Hadoop
- Hive
- Pig
- Crunch
Starting to deploy
- Kafka
- Storm
3. Pandora: Eric Bieschke
- Python. Hadoop. Hive for Offline processing
- Memcached. Reddis: for near line & online
- Java & PostgreSQL for online
Memcached: Used as key-value store in the sky as long as you don’t care about losing data
Reddis: “Persistent Memcached”