Customer-obsessed science

Over the past few years, Federated Learning (FL) has become an emerging machine learning technique to tackle data privacy challenges through collaborative training. In the Federated Learning algorithm, the clients submit a locally trained model, and the server aggregates these parameters until convergence. Despite significant efforts that have been made to FL in fields like computer vision, audio, and natural

Irrespective of the intent, malicious or benign, behind the origin of non-human traffic on sponsored advertising pages, failure to detect such unwanted traffic results in deterioration of advertiser performance metrics. Invalid (i.e., robotic) ad traffic is frequently driven by IP addresses (or address ranges) that are exclusively dedicated to VPNs, hosting or proxy services, Tor networks, as well as by

Automatic Evaluation (AE) and Response Selection (RS) models assign quality scores to various candidate responses and rank them in conversational setups. Prior response ranking research compares various models’ performance on synthetically generated test sets. In this work, we investigate the performance of model-based reference-free AE and RS models on our constructed response ranking datasets that mirror

As spoken dialog systems like Siri, Alexa and Google Assistant become widespread, it becomes apparent that relying solely on global, one-size-fits-all models of Automatic Speech Recognition (ASR), Natural Language Understanding (NLU) and Entity Resolution (ER), is inadequate for delivering a friction-less customer experience. To address this issue, Query Reformulation (QR) has emerged as a crucial technique

User activity sequence modeling has significantly improved performance across a range tasks in advertising spanning across supervised learning tasks like ad response prediction to unsupervised tasks like robot and ad fraud detection. Self-supervised learning using autoregressive generative models has garnered interest due to performance improvements on time series and natural language data. In this paper