SlideShare una empresa de Scribd logo
1 de 63
Music recommendations at Spotify




                                   Erik Bernhardsson

                        erikbern@spotify.com
Recommendation stuff at Spotify
Collaborative filtering
Collaborative filtering

Idea:
- If two movies x, y get similar ratings then they are probably similar
- If a lot of users all listen to tracks x, y, z, then those tracks are
    probably similar
Get data
… lots of data
Aggregate data

Throw away temporal information and just look at the number of times
OK, so now we have a big matrix
… very big matrix
Supervised collaborative filtering is pretty much matrix completion
Supervised learning: Matrix completion
Supervised: evaluating rec quality
Unsupervised learning

-   Trying to estimate the density
-   i.e. predict probability of future events
Try to predict the future given the past
How can we find similar items
We can calculate correlation coefficient as an item similarity

-   Use something like Pearson, Jaccard, …
Amazon did this for “customers who bought this also bought”

-   US patent 7113917
Parallelization is hard though
Parallelization is hard though
Can speed this up using various LSH tricks

-   Twitter: Dimension Independent Similarity Computation (DISCO)
Are there other approaches?
Natural Language Processing has a lot of similar problems




…matrix factorization is one idea
Matrix factorization
Matrix factorization

-   Want to get user vectors and item vectors
-   Assume f latent factors (dimensions) for each user/item
Probabilistic Latent Semantic Analysis (PLSA)

-   Hofmann, 1999
-   Also called PLSI
PLSA, cont.




+ a bunch of constraints:
PLSA, cont.

Optimization problem: maximize log-likelihood
PLSA, cont.
Collaborative Filtering at Spotify
Collaborative Filtering at Spotify
Collaborative Filtering at Spotify
Collaborative Filtering at Spotify
“Collaborative Filtering for Implicit Feedback Datasets”

-   Hu, Koren, Volinsky (2008)
“Collaborative Filtering for Implicit Feedback Datasets”, cont.
“Collaborative Filtering for Implicit Feedback Datasets”, cont.
“Collaborative Filtering for Implicit Feedback Datasets”, cont.
“Collaborative Filtering for Implicit Feedback Datasets”, cont.
Here is another method we use
What happens each iteration




-   Assign all latent vectors small random values
-   Perform gradient ascent to optimize log-likelihood
What happens each iteration




-   Assign all latent vectors small random values
-   Perform gradient ascent to optimize log-likelihood
What happens each iteration




-   Assign all latent vectors small random values
-   Perform gradient ascent to optimize log-likelihood
Calculate derivative and do gradient ascent




-   Assign all latent vectors small random values
-   Perform gradient ascent to optimize log-likelihood
2D iteration example
Vectors are pretty nice because things are now super fast

-   User-item score is a dot product:




-   Item-item similarity score is a cosine similarity:




-   Both cases have trivial complexity in the number of factors f:
Example: item similarity as a cosine of vectors
Two dimensional example for tracks
We can rank all tracks by the user’s vector
So how do we implement this?
One iteration of a matrix factorization algorithm

“Google News personalization: scalable online collaborative filtering”
Collaborative Filtering at Spotify
So now we solved the problem of recommendations right?
Actually what we really want is to apply it to other domains
Radio

-   Artist radio: find related tracks
-   Optimize ensemble model based on skip/thumbs data
Learning from feedback is actually pretty hard
A/B testing
A/B testing
A/B testing
A/B testing
More applications!!!
Collaborative Filtering at Spotify
Collaborative Filtering at Spotify
Last but not least: we’re hiring!
Thank you

Más contenido relacionado

La actualidad más candente

Music Recommendations at Scale with Spark
Music Recommendations at Scale with SparkMusic Recommendations at Scale with Spark
Music Recommendations at Scale with SparkChris Johnson
 
Machine learning @ Spotify - Madison Big Data Meetup
Machine learning @ Spotify - Madison Big Data MeetupMachine learning @ Spotify - Madison Big Data Meetup
Machine learning @ Spotify - Madison Big Data MeetupAndy Sloane
 
DataEngConf: Building a Music Recommender System from Scratch with Spotify Da...
DataEngConf: Building a Music Recommender System from Scratch with Spotify Da...DataEngConf: Building a Music Recommender System from Scratch with Spotify Da...
DataEngConf: Building a Music Recommender System from Scratch with Spotify Da...Hakka Labs
 
Machine Learning and Big Data for Music Discovery at Spotify
Machine Learning and Big Data for Music Discovery at SpotifyMachine Learning and Big Data for Music Discovery at Spotify
Machine Learning and Big Data for Music Discovery at SpotifyChing-Wei Chen
 
Interactive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and SpotifyInteractive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and SpotifyChris Johnson
 
ML+Hadoop at NYC Predictive Analytics
ML+Hadoop at NYC Predictive AnalyticsML+Hadoop at NYC Predictive Analytics
ML+Hadoop at NYC Predictive AnalyticsErik Bernhardsson
 
Music Personalization At Spotify
Music Personalization At SpotifyMusic Personalization At Spotify
Music Personalization At SpotifyVidhya Murali
 
Scala Data Pipelines @ Spotify
Scala Data Pipelines @ SpotifyScala Data Pipelines @ Spotify
Scala Data Pipelines @ SpotifyNeville Li
 
Personalizing the listening experience
Personalizing the listening experiencePersonalizing the listening experience
Personalizing the listening experienceMounia Lalmas-Roelleke
 
Homepage Personalization at Spotify
Homepage Personalization at SpotifyHomepage Personalization at Spotify
Homepage Personalization at SpotifyOguz Semerci
 
Spotify Discover Weekly: The machine learning behind your music recommendations
Spotify Discover Weekly: The machine learning behind your music recommendationsSpotify Discover Weekly: The machine learning behind your music recommendations
Spotify Discover Weekly: The machine learning behind your music recommendationsSophia Ciocca
 
Music Recommendation 2018
Music Recommendation 2018Music Recommendation 2018
Music Recommendation 2018Fabien Gouyon
 
Tableau Conference 2018: Binging on Data - Enabling Analytics at Netflix
Tableau Conference 2018: Binging on Data - Enabling Analytics at NetflixTableau Conference 2018: Binging on Data - Enabling Analytics at Netflix
Tableau Conference 2018: Binging on Data - Enabling Analytics at NetflixBlake Irvine
 
Recommending and Searching (Research @ Spotify)
Recommending and Searching (Research @ Spotify)Recommending and Searching (Research @ Spotify)
Recommending and Searching (Research @ Spotify)Mounia Lalmas-Roelleke
 
Recommender Systems from A to Z – Model Training
Recommender Systems from A to Z – Model TrainingRecommender Systems from A to Z – Model Training
Recommender Systems from A to Z – Model TrainingCrossing Minds
 
Rishabh Mehrotra - Recommendations in a Marketplace: Personalizing Explainabl...
Rishabh Mehrotra - Recommendations in a Marketplace: Personalizing Explainabl...Rishabh Mehrotra - Recommendations in a Marketplace: Personalizing Explainabl...
Rishabh Mehrotra - Recommendations in a Marketplace: Personalizing Explainabl...MLconf
 
A Multi-Armed Bandit Framework For Recommendations at Netflix
A Multi-Armed Bandit Framework For Recommendations at NetflixA Multi-Armed Bandit Framework For Recommendations at Netflix
A Multi-Armed Bandit Framework For Recommendations at NetflixJaya Kawale
 
Recent Trends in Personalization: A Netflix Perspective
Recent Trends in Personalization: A Netflix PerspectiveRecent Trends in Personalization: A Netflix Perspective
Recent Trends in Personalization: A Netflix PerspectiveJustin Basilico
 
Interactive Recommender Systems
Interactive Recommender SystemsInteractive Recommender Systems
Interactive Recommender SystemsRoelof van Zwol
 

La actualidad más candente (20)

Music Recommendations at Scale with Spark
Music Recommendations at Scale with SparkMusic Recommendations at Scale with Spark
Music Recommendations at Scale with Spark
 
Machine learning @ Spotify - Madison Big Data Meetup
Machine learning @ Spotify - Madison Big Data MeetupMachine learning @ Spotify - Madison Big Data Meetup
Machine learning @ Spotify - Madison Big Data Meetup
 
DataEngConf: Building a Music Recommender System from Scratch with Spotify Da...
DataEngConf: Building a Music Recommender System from Scratch with Spotify Da...DataEngConf: Building a Music Recommender System from Scratch with Spotify Da...
DataEngConf: Building a Music Recommender System from Scratch with Spotify Da...
 
Machine Learning and Big Data for Music Discovery at Spotify
Machine Learning and Big Data for Music Discovery at SpotifyMachine Learning and Big Data for Music Discovery at Spotify
Machine Learning and Big Data for Music Discovery at Spotify
 
Interactive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and SpotifyInteractive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and Spotify
 
ML+Hadoop at NYC Predictive Analytics
ML+Hadoop at NYC Predictive AnalyticsML+Hadoop at NYC Predictive Analytics
ML+Hadoop at NYC Predictive Analytics
 
Music Personalization At Spotify
Music Personalization At SpotifyMusic Personalization At Spotify
Music Personalization At Spotify
 
Scala Data Pipelines @ Spotify
Scala Data Pipelines @ SpotifyScala Data Pipelines @ Spotify
Scala Data Pipelines @ Spotify
 
Personalizing the listening experience
Personalizing the listening experiencePersonalizing the listening experience
Personalizing the listening experience
 
Homepage Personalization at Spotify
Homepage Personalization at SpotifyHomepage Personalization at Spotify
Homepage Personalization at Spotify
 
Spotify Discover Weekly: The machine learning behind your music recommendations
Spotify Discover Weekly: The machine learning behind your music recommendationsSpotify Discover Weekly: The machine learning behind your music recommendations
Spotify Discover Weekly: The machine learning behind your music recommendations
 
Music Recommendation 2018
Music Recommendation 2018Music Recommendation 2018
Music Recommendation 2018
 
Tableau Conference 2018: Binging on Data - Enabling Analytics at Netflix
Tableau Conference 2018: Binging on Data - Enabling Analytics at NetflixTableau Conference 2018: Binging on Data - Enabling Analytics at Netflix
Tableau Conference 2018: Binging on Data - Enabling Analytics at Netflix
 
Recommending and searching @ Spotify
Recommending and searching @ SpotifyRecommending and searching @ Spotify
Recommending and searching @ Spotify
 
Recommending and Searching (Research @ Spotify)
Recommending and Searching (Research @ Spotify)Recommending and Searching (Research @ Spotify)
Recommending and Searching (Research @ Spotify)
 
Recommender Systems from A to Z – Model Training
Recommender Systems from A to Z – Model TrainingRecommender Systems from A to Z – Model Training
Recommender Systems from A to Z – Model Training
 
Rishabh Mehrotra - Recommendations in a Marketplace: Personalizing Explainabl...
Rishabh Mehrotra - Recommendations in a Marketplace: Personalizing Explainabl...Rishabh Mehrotra - Recommendations in a Marketplace: Personalizing Explainabl...
Rishabh Mehrotra - Recommendations in a Marketplace: Personalizing Explainabl...
 
A Multi-Armed Bandit Framework For Recommendations at Netflix
A Multi-Armed Bandit Framework For Recommendations at NetflixA Multi-Armed Bandit Framework For Recommendations at Netflix
A Multi-Armed Bandit Framework For Recommendations at Netflix
 
Recent Trends in Personalization: A Netflix Perspective
Recent Trends in Personalization: A Netflix PerspectiveRecent Trends in Personalization: A Netflix Perspective
Recent Trends in Personalization: A Netflix Perspective
 
Interactive Recommender Systems
Interactive Recommender SystemsInteractive Recommender Systems
Interactive Recommender Systems
 

Similar a Collaborative Filtering at Spotify

Chapter 02 collaborative recommendation
Chapter 02   collaborative recommendationChapter 02   collaborative recommendation
Chapter 02 collaborative recommendationAravindharamanan S
 
Chapter 02 collaborative recommendation
Chapter 02   collaborative recommendationChapter 02   collaborative recommendation
Chapter 02 collaborative recommendationAravindharamanan S
 
Summer internship 2014 report by Rishabh Misra, Thapar University
Summer internship 2014 report by Rishabh Misra, Thapar UniversitySummer internship 2014 report by Rishabh Misra, Thapar University
Summer internship 2014 report by Rishabh Misra, Thapar UniversityRishabh Misra
 
Buidling large scale recommendation engine
Buidling large scale recommendation engineBuidling large scale recommendation engine
Buidling large scale recommendation engineKeeyong Han
 
Recommendation System Explained
Recommendation System ExplainedRecommendation System Explained
Recommendation System ExplainedCrossing Minds
 
Models for Information Retrieval and Recommendation
Models for Information Retrieval and RecommendationModels for Information Retrieval and Recommendation
Models for Information Retrieval and RecommendationArjen de Vries
 
Apache Mahout Tutorial - Recommendation - 2013/2014
Apache Mahout Tutorial - Recommendation - 2013/2014 Apache Mahout Tutorial - Recommendation - 2013/2014
Apache Mahout Tutorial - Recommendation - 2013/2014 Cataldo Musto
 
Tag And Tag Based Recommender
Tag And Tag Based RecommenderTag And Tag Based Recommender
Tag And Tag Based Recommendergu wendong
 
Recsys 2018 overview and highlights
Recsys 2018 overview and highlightsRecsys 2018 overview and highlights
Recsys 2018 overview and highlightsSandra Garcia
 
Intelligent Search
Intelligent SearchIntelligent Search
Intelligent SearchTed Dunning
 
Igor Kostiuk “Как приручить музыкальную рекомендательную систему”
Igor Kostiuk “Как приручить музыкальную рекомендательную систему”Igor Kostiuk “Как приручить музыкальную рекомендательную систему”
Igor Kostiuk “Как приручить музыкальную рекомендательную систему”Dakiry
 
Collaborative Filtering Recommendation System
Collaborative Filtering Recommendation SystemCollaborative Filtering Recommendation System
Collaborative Filtering Recommendation SystemMilind Gokhale
 
Item Based Collaborative Filtering Recommendation Algorithms
Item Based Collaborative Filtering Recommendation AlgorithmsItem Based Collaborative Filtering Recommendation Algorithms
Item Based Collaborative Filtering Recommendation Algorithmsnextlib
 
AI&BigData Lab 2016. Игорь Костюк: Как приручить музыкальную рекомендательную...
AI&BigData Lab 2016. Игорь Костюк: Как приручить музыкальную рекомендательную...AI&BigData Lab 2016. Игорь Костюк: Как приручить музыкальную рекомендательную...
AI&BigData Lab 2016. Игорь Костюк: Как приручить музыкальную рекомендательную...GeeksLab Odessa
 
Recommendation Systems Roadtrip
Recommendation Systems RoadtripRecommendation Systems Roadtrip
Recommendation Systems RoadtripThe Real Dyl
 
Twente ir-course 20-10-2010
Twente ir-course 20-10-2010Twente ir-course 20-10-2010
Twente ir-course 20-10-2010Arjen de Vries
 
Recommenders Systems
Recommenders SystemsRecommenders Systems
Recommenders SystemsTariq Hassan
 

Similar a Collaborative Filtering at Spotify (20)

Chapter 02 collaborative recommendation
Chapter 02   collaborative recommendationChapter 02   collaborative recommendation
Chapter 02 collaborative recommendation
 
Chapter 02 collaborative recommendation
Chapter 02   collaborative recommendationChapter 02   collaborative recommendation
Chapter 02 collaborative recommendation
 
Summer internship 2014 report by Rishabh Misra, Thapar University
Summer internship 2014 report by Rishabh Misra, Thapar UniversitySummer internship 2014 report by Rishabh Misra, Thapar University
Summer internship 2014 report by Rishabh Misra, Thapar University
 
Buidling large scale recommendation engine
Buidling large scale recommendation engineBuidling large scale recommendation engine
Buidling large scale recommendation engine
 
Btp 3rd Report
Btp 3rd ReportBtp 3rd Report
Btp 3rd Report
 
Recommendation System Explained
Recommendation System ExplainedRecommendation System Explained
Recommendation System Explained
 
Fashiondatasc
FashiondatascFashiondatasc
Fashiondatasc
 
Models for Information Retrieval and Recommendation
Models for Information Retrieval and RecommendationModels for Information Retrieval and Recommendation
Models for Information Retrieval and Recommendation
 
Apache Mahout Tutorial - Recommendation - 2013/2014
Apache Mahout Tutorial - Recommendation - 2013/2014 Apache Mahout Tutorial - Recommendation - 2013/2014
Apache Mahout Tutorial - Recommendation - 2013/2014
 
Tag And Tag Based Recommender
Tag And Tag Based RecommenderTag And Tag Based Recommender
Tag And Tag Based Recommender
 
Recsys 2018 overview and highlights
Recsys 2018 overview and highlightsRecsys 2018 overview and highlights
Recsys 2018 overview and highlights
 
Intelligent Search
Intelligent SearchIntelligent Search
Intelligent Search
 
Igor Kostiuk “Как приручить музыкальную рекомендательную систему”
Igor Kostiuk “Как приручить музыкальную рекомендательную систему”Igor Kostiuk “Как приручить музыкальную рекомендательную систему”
Igor Kostiuk “Как приручить музыкальную рекомендательную систему”
 
Collaborative Filtering Recommendation System
Collaborative Filtering Recommendation SystemCollaborative Filtering Recommendation System
Collaborative Filtering Recommendation System
 
Item Based Collaborative Filtering Recommendation Algorithms
Item Based Collaborative Filtering Recommendation AlgorithmsItem Based Collaborative Filtering Recommendation Algorithms
Item Based Collaborative Filtering Recommendation Algorithms
 
AI&BigData Lab 2016. Игорь Костюк: Как приручить музыкальную рекомендательную...
AI&BigData Lab 2016. Игорь Костюк: Как приручить музыкальную рекомендательную...AI&BigData Lab 2016. Игорь Костюк: Как приручить музыкальную рекомендательную...
AI&BigData Lab 2016. Игорь Костюк: Как приручить музыкальную рекомендательную...
 
Recommendation Systems Roadtrip
Recommendation Systems RoadtripRecommendation Systems Roadtrip
Recommendation Systems Roadtrip
 
Twente ir-course 20-10-2010
Twente ir-course 20-10-2010Twente ir-course 20-10-2010
Twente ir-course 20-10-2010
 
Recommenders Systems
Recommenders SystemsRecommenders Systems
Recommenders Systems
 
Ai use cases
Ai use casesAi use cases
Ai use cases
 

Último

The Kubernetes Gateway API and its role in Cloud Native API Management
The Kubernetes Gateway API and its role in Cloud Native API ManagementThe Kubernetes Gateway API and its role in Cloud Native API Management
The Kubernetes Gateway API and its role in Cloud Native API ManagementNuwan Dias
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UbiTrack UK
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1DianaGray10
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
Governance in SharePoint Premium:What's in the box?
Governance in SharePoint Premium:What's in the box?Governance in SharePoint Premium:What's in the box?
Governance in SharePoint Premium:What's in the box?Juan Carlos Gonzalez
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Commit University
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
IEEE Computer Society’s Strategic Activities and Products including SWEBOK Guide
IEEE Computer Society’s Strategic Activities and Products including SWEBOK GuideIEEE Computer Society’s Strategic Activities and Products including SWEBOK Guide
IEEE Computer Society’s Strategic Activities and Products including SWEBOK GuideHironori Washizaki
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxGDSC PJATK
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdfPedro Manuel
 

Último (20)

The Kubernetes Gateway API and its role in Cloud Native API Management
The Kubernetes Gateway API and its role in Cloud Native API ManagementThe Kubernetes Gateway API and its role in Cloud Native API Management
The Kubernetes Gateway API and its role in Cloud Native API Management
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
201610817 - edge part1
201610817 - edge part1201610817 - edge part1
201610817 - edge part1
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
Governance in SharePoint Premium:What's in the box?
Governance in SharePoint Premium:What's in the box?Governance in SharePoint Premium:What's in the box?
Governance in SharePoint Premium:What's in the box?
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
IEEE Computer Society’s Strategic Activities and Products including SWEBOK Guide
IEEE Computer Society’s Strategic Activities and Products including SWEBOK GuideIEEE Computer Society’s Strategic Activities and Products including SWEBOK Guide
IEEE Computer Society’s Strategic Activities and Products including SWEBOK Guide
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptx
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdf
 

Collaborative Filtering at Spotify