
RecSysTV
@RecSysTV
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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
Accuracy, diversity, Novelty and serendipity - good to see evaluations beyond accuracy at #recsys2016.
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Miguel Costa talks about feature engineering for TV recommendations - check out all the signals they use #recsys2016
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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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Atom stories can be built from different metadata pieces, and we can use #recsys to build them - @sbourke #recsys2016.
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It is a great time to create content, but monetization is complex - @sbourke from @SchibstedGroup
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News are moving from text to video - @sbourke talks about media and #recsys @SchibstedGroup #recsys2016
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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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Real time updating of model by recalculating with one forward pass through the network with each new interaction. #RecSysTV #DeepLearning.
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