75 citations · 150 across the 12 of their papers we have counts for
16 papers
Deploying Semantic ID-based Generative Retrieval for Large-Scale Podcast Discovery at Spotify
Edoardo D'Amico, Marco De Nadai, Praveen Chandar +41
Podcast listening is often grounded in a set of favorite shows, while listener intent can evolve over time. This combination of stable preferences and changing intent motivates rec…
A Unified Language Model for Large Scale Search, Recommendation, and Reasoning
Marco De Nadai, Edoardo D'Amico, Max Lefarov +18
LLMs are increasingly applied to recommendation, retrieval, and reasoning, yet deploying a single end-to-end model that can jointly support these behaviors over large, heterogeneou…
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
Marco De Nadai, Francesco Fabbri, Paul Gigioli +11
In the ever-evolving digital audio landscape, Spotify, well-known for its music and talk content, has recently introduced audiobooks to its vast user base. While promising, this mo…
Multi-Modal Trajectory Prediction of NBA Players
Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic +1
National Basketball Association (NBA) players are highly motivated and skilled experts that solve complex decision making problems at every time point during a game. As a step towa…
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui +6
Following detection and tracking of traffic actors, prediction of their future motion is the next critical component of a self-driving vehicle (SDV) technology, allowing the SDV to…
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou +5
Autonomous driving presents one of the largest problems that the robotics and artificial intelligence communities are facing at the moment, both in terms of difficulty and potentia…
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui +5
We address one of the crucial aspects necessary for safe and efficient operations of autonomous vehicles, namely predicting future state of traffic actors in the autonomous vehicle…
Proceedings of the 2017 AdKDD & TargetAd Workshop
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic +4
Proceedings of the 2017 AdKDD and TargetAd Workshop held in conjunction with the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining Halifax, Nova Scotia, Canada.
Travel the World: Analyzing and Predicting Booking Behavior using E-mail Travel Receipts
Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic +3
Tourism industry has grown tremendously in the previous several decades. Despite its global impact, there still remain a number of open questions related to better understanding of…
Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising
Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic +6
Sponsored search represents a major source of revenue for web search engines. This popular advertising model brings a unique possibility for advertisers to target users' immediate…
Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests
Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic +2
We consider the problem of personalization of online services from the viewpoint of ad targeting, where we seek to find the best ad categories to be shown to each user, resulting i…
Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content
Nemanja Djuric, Hao Wu, Vladan Radosavljevic +2
We consider the problem of learning distributed representations for documents in data streams. The documents are represented as low-dimensional vectors and are jointly learned with…
Network-Efficient Distributed Word2vec Training System for Large Vocabularies
Erik Ordentlich, Lee Yang, Andy Feng +5
Word2vec is a popular family of algorithms for unsupervised training of dense vector representations of words on large text corpuses. The resulting vectors have been shown to captu…
Gender and Interest Targeting for Sponsored Post Advertising at Tumblr
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric +2
As one of the leading platforms for creative content, Tumblr offers advertisers a unique way of creating brand identity. Advertisers can tell their story through images, animation,…
E-commerce in Your Inbox: Product Recommendations at Scale
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric +4
In recent years online advertising has become increasingly ubiquitous and effective. Advertisements shown to visitors fund sites and apps that publish digital content, manage socia…
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior
Farshad Kooti, Kristina Lerman, Luca Maria Aiello +3
Consumer spending accounts for a large fraction of the US economic activity. Increasingly, consumer activity is moving to the web, where digital traces of shopping and purchases pr…