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Data Science of Recommendations - Special free session at Strata Conference

  • Oct 2, 2012 · 6:30 PM
  • This location is shown only to members

We're excited to announce that we'll be hosting this meetup at Strata Conference London on October 2nd. Thanks! to O'Reilly for inviting us to host this meetup @StrataConf

NOTE: this is a FREE session, you don't need a pass to @StrataConf

If you want to buy a ticket to Strata Conference: Use our code DSLONDON to get a 20% off ticket discount.


In this session we'll have a debrief of ACM RecSys 2012, we'll discuss some interesting topics on recommender systems, and some new cool ideas around autonomous discovery (a.k.a. anticipatory computing or serendipity engineering)


Agenda (more details coming, to be updated soon)

Meeting room is Buckingham Room.

6.30 Welcome and networking, free pizza and beer


"#Recsys2012: A Review of ACM 6th Recommender Systems 2012" by Dr. Neal Lathia Research Associate at @Cambridge_Uni Computer Labs


"Beyond Accuracy: Goal Driven Recommender System Design" by Tamas Jambor, Ph.D. student @UCL


"Autonomous Discovery as the New Interface" by Dinesh B. Vadhia CEO @Xyggy


"Big, Practical Recommendations with ALS algorithms" by Sean Owen CEO @Myrrix and main Mahout committer


9.30pm-ish talks end

We'll give away some Free Data Science books too :-)


In the meantime, you can check out what happened at RecSys 2012 in the link below:

Join or login to comment.

  • Justin S.

    Fascinating stuff - I'm non-technical, so it was v interesting to hear of the #recsys work. I would be really grateful if every speaker could be miked up in some way, as it helps to really understand what they are saying! :-)

    October 4, 2012

  • Taoufiq A.

    Very Informative with a broad yet practical perspective on Recsys

    October 4, 2012

  • Philip T.

    First and last talks were good, but the middle two lacked any real content.

    October 3, 2012

  • Stephen H.

    I liked the first two talks and the last. The first was not very detailed on how BigQuery works which is I think an interesting topic - but fair enough as a taster. the second I enjoyed as an overview of the recommendations field, he was a good speaker and the ideas were thought provoking for someone like me who is not an expert. The third speaker had some really interesting ideas which I felt followed from the second speaker but I felt the talk lacked practical examples that I could grasp. The 4th speaker totally confused me- I don't know what he meant his model to do or how it did it or why he thought he should give a talk like this. Perplexing and a mite irritating. Finally though I didn't fully follow all the detail of the final speakers matrix factorisation algorithm working on Mahout/Hadoop there was sufficient information to intrigue me so I will check it later.

    October 2, 2012

  • Nasir J.

    It was fantastic, great job by Carlos and anyone else involved in organizing it.

    October 2, 2012

  • Pavel K.


    October 2, 2012

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