@RecSysTV
Account based inIreland
About this account
- Account based in
- Ireland
- Connected via
- Web
Account-level information from X, not a live location or the device used for a specific post.
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
- Tweets102
- Following104
- Followers72
- Likes14
Difficult question, what about advertising in TV? And our panel of expert is giving interesting insights – at Cambridge, MA
Our panel is discussing the balance between human and algorithmic crated content on TV – at Cambridge, MA
Final session of #RecSysTV about to kick off, with the theme Future Research Directions for TV and Video Recommendations
"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 – at Cambridge, MA
Here is an example on how creators, programmers, or consumers can use metadata #recsys20 – at Cambridge, MA
Last talk this session is Faisal Ishtiaq with his talk on How to generate accurate meta-data for content-based recommendations #RecSysTV
Accuracy, diversity, Novelty and serendipity - good to see evaluations beyond accuracy at #recsys2016 – at Cambridge, MA
Miguel Costa talks about feature engineering for TV recommendations - check out all the signals they use #recsys2016
We're back from lunch. Beaming in directly from Portugal we have Miguel Costa with two talks #RecSysTV
When doing #recsys for news, journalists are your most valuable allies because they really care about true content - @sbourke at #recsys2016
Atom stories can be built from different metadata pieces, and we can use #recsys to build them - @sbourke #recsys2016 – at Cambridge, MA
It is a great time to create content, but monetization is complex - @sbourke from @SchibstedGroup – at Cambridge, MA
Content Quality Vs. Monetisation. How do you find the balance? #RecSysTV
Next up we have Steven Bourke from Schibsted Media Group. He is going to walk us through content curation tools for media. #RecSysTV
News are moving from text to video - @sbourke talks about media and #recsys @SchibstedGroup #recsys2016 – at Cambridge, MA
Using #deeplearning @Layer6AI obtain more accurate models, less complex feature spaces, and is able to have many more inputs for #recsys2016 – at Cambridge, MA
Real time updating of model by recalculating with one forward pass through the network with each new interaction. #RecSysTV #DeepLearning