RecSysTV is a series of workshops associated with the ACM RecSys conferences. It aims to publicize recommendations research around the theme of TV/Video.

Joined April 2014
28 Photos and videos
15 Sep 2016
Difficult question, what about advertising in TV? And our panel of expert is giving interesting insights
15 Sep 2016
Our panel is discussing the balance between human and algorithmic crated content on TV
15 Sep 2016
We have @comcast @verizon @netflix and @Layer6AI in our panel - the future and present of #TV #recsys2016
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15 Sep 2016
Panel session #RecSysTV
15 Sep 2016
Final session of #RecSysTV about to kick off, with the theme Future Research Directions for TV and Video Recommendations
15 Sep 2016
"Can you tell us how many explosiones are there?" - generating metadata for video means you have to do a lot of real-time feature extraction
15 Sep 2016
Here is an example on how creators, programmers, or consumers can use metadata #recsys20
15 Sep 2016
Last talk this session is Faisal Ishtiaq with his talk on How to generate accurate meta-data for content-based recommendations #RecSysTV
15 Sep 2016
Accuracy, diversity, Novelty and serendipity - good to see evaluations beyond accuracy at #recsys2016
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15 Sep 2016
Miguel Costa talks about feature engineering for TV recommendations - check out all the signals they use #recsys2016
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15 Sep 2016
Another packed session at #RecSysTV #recsys2016
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15 Sep 2016
We're back from lunch. Beaming in directly from Portugal we have Miguel Costa with two talks #RecSysTV
15 Sep 2016
When doing #recsys for news, journalists are your most valuable allies because they really care about true content - @sbourke at #recsys2016
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15 Sep 2016
Atom stories can be built from different metadata pieces, and we can use #recsys to build them - @sbourke #recsys2016
15 Sep 2016
It is a great time to create content, but monetization is complex - @sbourke from @SchibstedGroup
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15 Sep 2016
Content Quality Vs. Monetisation. How do you find the balance? #RecSysTV
15 Sep 2016
Next up we have Steven Bourke from Schibsted Media Group. He is going to walk us through content curation tools for media. #RecSysTV
15 Sep 2016
News are moving from text to video - @sbourke talks about media and #recsys @SchibstedGroup #recsys2016
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15 Sep 2016
Using #deeplearning @Layer6AI obtain more accurate models, less complex feature spaces, and is able to have many more inputs for #recsys2016
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15 Sep 2016
Real time updating of model by recalculating with one forward pass through the network with each new interaction. #RecSysTV #DeepLearning