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MLconf Online 2020
November 6, 2020, Online
MLconf Online 2020
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MLconf Online 2020
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About the talk

Spotify is the world’s most popular on-demand audio streaming company, with over 299 million active users listening to content from our catalog of millions of tracks and podcasts. Discovery and personalization play a key role in serving the right content to our users at every moment. With increased adoption of voice assistants and devices, voice presents a new paradigm to provide our users a friction-free and a personalized experience. Additionally the lack of visual interface in Voice clients introduces new challenges and exciting opportunities. In this talk, I will discuss how we apply personalization to our Voice stack to enhance our users’ experience. The ability to help users easily access the right content with limited input becomes extremely high utility for the Voice use cases where the users’ utterances are freestyle natural language and range in intent from being super specific to ambiguous. Finally, we will also discuss some of the unique challenges in applying personalization techniques and evaluating impact in Voice and our future work.

About speaker

Vidhya Murali
Machine Learning Engineering Manager at Spotify

Vidhya is an engineer manager leading a Machine Learning team focussed on personalization for Voice at Spotify. She has domain interests in machine learning and has a passion for building ML powered products. Prior to becoming a manager, she was a staff ML engineer leading and working on efforts that enable users discover their next favorite music on products including Discover Weekly, Release Radar and Home. She received her Masters in Computer Science from the University of Wisconsin-Madison and Bachelors from BITS Pilani, India.

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Laundry buddy. Can you show me? Cool, everybody. My name is Lydia today. And so since I'm apart of work from play Spotify. It's hard with some numbers Spotify is the most largest audience in the flag. Be half over 9 million monthly active users are catalog cats over 16 million or billion playlist. Best recommended song, which is this playlist. Personalization.com. Diction features. How does Spotify list voice capabilities? Play music music on Spotify. Call Kay.

So I'll holla II. Instructions. Easy listening. What's the weather? It's like fortnite. Finally has a disturbance is open, open. It is for internet for my cousin who is clay and Look at this lot of Athens dressing up for Halloween. Formalized, summarizing formula. What does Alyssa mean? Been the primary cell says, 10 challenges? This is a very interesting challenges. We don't want to be fixed in the white Xfinity primarily as Bluetooth for an Uber. So Ability to Sunrise,

Stampede in July. What is a continent? It's not Google review. So, what are you doing? Play work from home. Go to 2618, Saxon. Walk through an example. Play me Taylor Swift. What is the temperature today,? How do you say can choose the most relevant results for any given year. My name is the opening with my home. To reduce staff. We have different features, the music. Our share of some of our recent images. So what's up with the color? The Goldbergs. And then there are

like challenges. Examples of Indie music. And then going back to the office on Garden. The other trailer,, we don't have to worry about all the time because you didn't do what you did in the Mission Valley. Episode on energy content with how our thank you all for your time. All right. I'm going to be. How's the weather on Thursday? What is the temperature outside? And goddesses. How do you connect? Everyone. We will now be breaking for lunch and will be returning at 12:45. Again. Thank you so much

for attending an email conference. We will see you all back live at 12:45. Thank you very much.

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