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Deep Neural Networks for YouTube Recommendations

research.google.com

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Re: Deep Neural Networks for YouTube Recommendations

#91

Author here - happy to answer questions about the techniques in the paper. We're super excited to finally share this work externally. Feedback about YouTube recommendations in general also welcome.

Do you study the phenomenon of information bubbles at Google? Let's say, a German user just happens to watch some right-wing populist video claiming that we need to stop Merkel's refugee politics. The next day the user might receive plenty of recommendations in their feed that confirm the message in the first video. They happen to stumble upon a video of some party convention by an uprising German populist party, and…

some low quality left wing populism right here.

google does right to not chose between left and right, moral or imoral.

Re: Deep Neural Networks for YouTube Recommendations

#92

Author here - happy to answer questions about the techniques in the paper. We're super excited to finally share this work externally. Feedback about YouTube recommendations in general also welcome.

Do you study the phenomenon of information bubbles at Google? Let's say, a German user just happens to watch some right-wing populist video claiming that we need to stop Merkel's refugee politics. The next day the user might receive plenty of recommendations in their feed that confirm the message in the first video. They happen to stumble upon a video of some party convention by an uprising German populist party, and…

some low quality left wing populism right here.

google does right to not chose between left and right, moral or imoral.

Re: Deep Neural Networks for YouTube Recommendations

#93
Your recommender seems to be trying to predict (from logs) which video the user will watch next/soon, and how much watch time it will lead to.

If you used to have a bad recommendation system, and then you switch over to this system, then it will still be trained with data generated by users who saw the old recommendations, leading it to have a bias towards the same bad predictions.

Is there any way around that?

Re: Deep Neural Networks for YouTube Recommendations

#94
You seem to be doing all the right things in this paper, yet user sentiment seems to still be negative. Do you think that's because maximizing watch time and impressing users are conflicting goals, or are there perfect recommendations out there which both impress users and maximize watch time, yet they haven't yet been found?

Re: Deep Neural Networks for YouTube Recommendations

#95
post #38

Earlier quoted context omitted.

Are you guys using similar model like Word2Vec for obtaining the video embeddings?

word2vec did inspire earlier iterations of the model, but the key insight is that embeddings are learned jointly with all other model parameters. There is no separate source of embeddings. This way, embeddings are specialized for the the specific task.

In general what could be a separate source of embeddings? Also, how do these embeddings compare against traditional CF based latent factors?(I ask this in terms of a recommender metric and not complexity)

Re: Deep Neural Networks for YouTube Recommendations

#96
post #66

Earlier quoted context omitted.

As opposed to planting your flag in the ground that your camp is always right and the outgroup is evil?

As opposed to at least trying to think a bit. If you think relativism is fine. Then "As opposed to planting your flag in the ground that your camp is always right and the outgroup is evil?" is also fine. See how silly and immediately self-contradictory relativism is?

"Trying to think a bit" would be on the side of having more information to think about, I'd imagine. Absolute relativism is a strawman you've brought into it, political tribalism is on the other hand a very real thing.

Re: Deep Neural Networks for YouTube Recommendations

#97

Earlier quoted context omitted.

Do you study the phenomenon of information bubbles at Google? Let's say, a German user just happens to watch some right-wing populist video claiming that we need to stop Merkel's refugee politics. The next day the user might receive plenty of recommendations in their feed that confirm the message in the first video. They happen to stumble upon a video of some party convention by an uprising German populist party, and…

some low quality left wing populism right here. google does right to not chose between left and right, moral or imoral.

Why? Leftist people would also get more diverse recommendations. They'd be exposed to arguments such as the importance of maintaining western values etc. I actually did an experiment of wading through videos recommended based on anti-Merkel stuff. There are very few reasonable discussions and mostly it's horribly populist and poorly researched stuff.

Re: Deep Neural Networks for YouTube Recommendations

#98

Earlier quoted context omitted.

some low quality left wing populism right here. google does right to not chose between left and right, moral or imoral.

Why? Leftist people would also get more diverse recommendations. They'd be exposed to arguments such as the importance of maintaining western values etc. I actually did an experiment of wading through videos recommended based on anti-Merkel stuff. There are very few reasonable discussions and mostly it's horribly populist and poorly researched stuff.

What exactly are western values, other than a not-so-subtle way of asserting hostility to Muslims? The people who go on about the importance of opposing immigration in the name of maintaining liberal and tolerant values (a code word for 'gays and feminism') seem to be exactly the same people who hate gays and feminism in the first place.

Re: Deep Neural Networks for YouTube Recommendations

#99

Earlier quoted context omitted.

Why? Leftist people would also get more diverse recommendations. They'd be exposed to arguments such as the importance of maintaining western values etc. I actually did an experiment of wading through videos recommended based on anti-Merkel stuff. There are very few reasonable discussions and mostly it's horribly populist and poorly researched stuff.

What exactly are western values , other than a not-so-subtle way of asserting hostility to Muslims? The people who go on about the importance of opposing immigration in the name of maintaining liberal and tolerant values (a code word for 'gays and feminism') seem to be exactly the same people who hate gays and feminism in the first place.

> What exactly are western values, other than a not-so-subtle way of asserting hostility to Muslims?

For example that no death threats are spoken when a daughter defies her farther's will who she is supposed to spend time with. That caricaturists, satirists and atheists are safe. These are things that western cultures have established, and which could arguably be endangered by letting in refugees by the millions and by prohibiting cultural criticism at the same time. I am myself not convinced of the urgency of this threat, but I think these are some of the more convincing arguments against Merkel's refugee politics. Other arguments are for example second order effects or equilibrium effects, e.g. that conservatives, professionals and business folk amount to a counter-reaction that is worse than letting in refugees in a more controlled way (i.e. Brexit and brain drain).

> exactly the same people who hate gays and feminism in the first place.

I have no idea about the numbers, but I am pretty certain both groups exist. Those who use these arguments as pretense and those who are honestly concerned about the efficiency, safety and trust our culture has established (which e.g. allow us to focus on education, art and science).

Re: Deep Neural Networks for YouTube Recommendations

#100

Author here - happy to answer questions about the techniques in the paper. We're super excited to finally share this work externally. Feedback about YouTube recommendations in general also welcome.

There is a serious need to separate the music videos from non-music videos.

I like recommendations about music, and I like recommendations about non-music stuff, but they're all mixed togather and that's painful.

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