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The Recommender
Challenge Hackathon
Torben Brodt
plista GmbH
2013/04/24
What is plista
● recommendation
● advertising
● network
● many big publishers in DE, AT, CH, ..
● "other articles you might be interested.."
● >8 billion impressions, clicks, engages, .. pM
Architecture
Architecture
Tracking Success
● each time a recommender is chosen, plista
will track its success.. for context and
context combinations
???
Tracking Success
● "online evaluation" technology
● better than classical offline evaluation known
from papers?
● cooperation with TU Berlin, aided by state
???
The hackathon
● we open the data, you provide the
knowledge
● develop a recommender which implements
the http + json api
● plista will track the success, if you are smart,
be the winner for the the best recommender
● best is live, best is scalable and best will
work in industry
The hackathon
● many interesting people
● get to know developers using
○ PHP, Java, NodeJS, Python
○ Redis, Storm, Elastic Search
○ Apache Mahout, Lucene
○ ...
The hackathon
● http://contest.plista.com/bigdataweek2013
○ 4pm start
○ 6pm "hello world!"
○ 7pm pizza + mate
○ ... open end fun
How to start (1/3)
register at
contest.plista.com
select challenge
* bdw13
* weekly
How to start (2/3)
● start implementation using examples
● http://contest.plista.com/wiki/example
How to start (2/3)
● start implementation using examples
● http://contest.plista.com/wiki/example
● have a github account?
● "fork" one of the example projects
● work on your local "clone"
● upload to your server
● enter url in your contest account
How to start (3/3)
● need a virtual server? ask us
● need old data? start replay from
webinterface
● try sending debug events from webinterface
● wait for team activation
● plista starts sending you real data
● your responses are displayed on real
publishers
Recommender ideas
● concentrate on implicit feedback
● think streaming / incremental
○ better to scale
○ faster results, new articles are better than old
articles?
● think about cross domain
○ contest is not allowed to mix items from different
domains/publishers
○ want knowledge of the full data, but candidate items
of a slice
Summary
join us?
http://www.plista.com/career
stay in touch?
Torben Brodt, plista.com, google plus, twitter, ..
Discounts
30% discount code: PLISTA30
● NoSQL Infrastructure
● Killing pigs and saving Danish bacon with Riak
● Introduction to Graph Databases
● Yokozuna, combining Solr with Riak
● Why you should care about Big Data
● ...
And Lottery...
● 1 FREE TICKET
And more Torben
● Talk about Realtime Recommendations
Hint
● now watch out for teammates
and have fun!
Recommender Hackathon @plista 2013/04

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Recommender Hackathon @plista 2013/04

  • 1. The Recommender Challenge Hackathon Torben Brodt plista GmbH 2013/04/24
  • 2. What is plista ● recommendation ● advertising ● network ● many big publishers in DE, AT, CH, .. ● "other articles you might be interested.." ● >8 billion impressions, clicks, engages, .. pM
  • 5. Tracking Success ● each time a recommender is chosen, plista will track its success.. for context and context combinations ???
  • 6. Tracking Success ● "online evaluation" technology ● better than classical offline evaluation known from papers? ● cooperation with TU Berlin, aided by state ???
  • 7. The hackathon ● we open the data, you provide the knowledge ● develop a recommender which implements the http + json api ● plista will track the success, if you are smart, be the winner for the the best recommender ● best is live, best is scalable and best will work in industry
  • 8. The hackathon ● many interesting people ● get to know developers using ○ PHP, Java, NodeJS, Python ○ Redis, Storm, Elastic Search ○ Apache Mahout, Lucene ○ ...
  • 9. The hackathon ● http://contest.plista.com/bigdataweek2013 ○ 4pm start ○ 6pm "hello world!" ○ 7pm pizza + mate ○ ... open end fun
  • 10. How to start (1/3) register at contest.plista.com select challenge * bdw13 * weekly
  • 11. How to start (2/3) ● start implementation using examples ● http://contest.plista.com/wiki/example
  • 12. How to start (2/3) ● start implementation using examples ● http://contest.plista.com/wiki/example ● have a github account? ● "fork" one of the example projects ● work on your local "clone" ● upload to your server ● enter url in your contest account
  • 13. How to start (3/3) ● need a virtual server? ask us ● need old data? start replay from webinterface ● try sending debug events from webinterface ● wait for team activation ● plista starts sending you real data ● your responses are displayed on real publishers
  • 14. Recommender ideas ● concentrate on implicit feedback ● think streaming / incremental ○ better to scale ○ faster results, new articles are better than old articles? ● think about cross domain ○ contest is not allowed to mix items from different domains/publishers ○ want knowledge of the full data, but candidate items of a slice
  • 15. Summary join us? http://www.plista.com/career stay in touch? Torben Brodt, plista.com, google plus, twitter, ..
  • 16. Discounts 30% discount code: PLISTA30 ● NoSQL Infrastructure ● Killing pigs and saving Danish bacon with Riak ● Introduction to Graph Databases ● Yokozuna, combining Solr with Riak ● Why you should care about Big Data ● ... And Lottery... ● 1 FREE TICKET And more Torben ● Talk about Realtime Recommendations
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  • 18. Hint ● now watch out for teammates and have fun!