Paolo Tomeo

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7 SlideShares 72 Followers 80 Followings

7 SlideShares 72 Followers 80 Followings

diversity recommender systems user model machine learning diversità ; recommender systems ; diversity recommender systems; diversity; linked open data; regression trees dbpedia knowledge graph freebase linked open data data mining conference cold-start introduction tensorflow python neural networks deep learning

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Diversità per Recommender Systems

11 years ago • 1064 Views

An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data

9 years ago • 772 Views

Recsys 2015: Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity

9 years ago • 342 Views

ISWC2015 - Content-based recommendations via DBpedia and Freebase: a case study in the music domain

9 years ago • 368 Views

Recsys 2016 - Accuracy and Diversity in Cross-domain Recommendations for Cold-Start Userswith Positive-only Feedback

8 years ago • 462 Views

Introduction and new trends in Recommender Systems

8 years ago • 888 Views

Introduction to Machine Learning with TensorFlow

8 years ago • 2672 Views

Kubernetes Core Concepts

Francesco Dammacco • 7 years ago

Tuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital Kedia

Databricks • 8 years ago

Large scale ETL with Hadoop

OReillyStrata • 12 years ago

Staying Shallow & Lean in a Deep Learning World

Xavier Amatriain • 9 years ago

Reactive Machine Learning On and Beyond the JVM

Jeff Smith • 8 years ago

Meet Up - Spark Stream Processing + Kafka

Knoldus Inc. • 8 years ago

Mongodb sharding

xiangrong • 13 years ago

Gaussian Ranking by Matrix Factorization, ACM RecSys Conference 2015

Harald Steck • 9 years ago

Techniques for Context-Aware and Cold-Start Recommendations

Matthias Braunhofer • 9 years ago

Deep Learning for Natural Language Processing

Jonathan Mugan • 9 years ago

Past, present, and future of Recommender Systems: an industry perspective

Xavier Amatriain • 9 years ago

Spark Summit EU 2015: Combining the Strengths of MLlib, scikit-learn, and R

Databricks • 9 years ago

The Economics of Recommender Systems

Konstantin Savenkov • 10 years ago

Building a real time, solr-powered recommendation engine

Trey Grainger • 13 years ago

Functional Programming Patterns (BuildStuff '14)

Scott Wlaschin • 10 years ago

HT2014 Tutorial: Evaluating Recommender Systems - Ensuring Replicability of Evaluation

Alejandro Bellogin • 10 years ago

Ranking and Diversity in Recommendations - RecSys Stammtisch at SoundCloud, Berlin

Alexandros Karatzoglou • 11 years ago

The Magic Barrier of Recommender Systems - No Magic, Just Ratings

Alan Said • 11 years ago

Diversity and novelty for recommendation system

Zhenv5 • 13 years ago

ESSIR 2013 Recommender Systems tutorial

Alexandros Karatzoglou • 11 years ago

Building multi-modal recommendation engines using search engines

Ted Dunning • 11 years ago

Next directions in Mahout's recommenders

sscdotopen • 11 years ago

How to build a recommender system?

blueace • 16 years ago

Design of recommender systems

Rashmi Sinha • 18 years ago

Webinar Presentation: Building a Big Data Recommendation Engine

Caserta • 12 years ago

FP in Java - Project Lambda and beyond

Mario Fusco • 12 years ago

Best Practices Mobile Web: Il "Tap" è il nuovo "Click" @ Wordcamp Bologna

Luca Degli Esposti • 12 years ago

Guest lecture Recommender Systems in TEL at RWTH Aachen, Germany

Hendrik Drachsler • 14 years ago

RecSysTEL lecture at advanced SIKS course, NL

Hendrik Drachsler • 13 years ago

Tutorial on Robustness of Recommender Systems

neilhurley • 13 years ago

diversity recommender systems user model machine learning diversità ; recommender systems ; diversity recommender systems; diversity; linked open data; regression trees dbpedia knowledge graph freebase linked open data data mining conference cold-start introduction tensorflow python neural networks deep learning

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