Paper on eCommerce at SIGIR Forum

As eCommerce is becoming increasingly important, we recruited a small team of researchers from major and not so major players in the field to share views and experiences on theoretical and practical challenges and future directions on eCommerce search and recommendations. The result of our effort, “Challenges and Research Opportunities in eCommerce Search and Recommendations” is published in June 2020 issue of SIGIR Forum.

With the rapid adoption of online shopping, academic research in the eCommerce domain has gained traction. However, significant research challenges remain, spanning from classic eCommerce search problems such as matching textual queries to multi-modal documents and ranking optimization for two-sided marketplaces to human-computer interaction and recom- mender systems for discovery and browsing. These research areas are important for under- standing customer behavior, driving engagement, and improving product discoverability and conversion. In this article we identify the challenges and highlight research opportunities to improve the eCommerce customer experience.

Short Paper with the Apple Siri Team at SIGIR 2020

Happy to share my first pubication with the Siri Speech team at Apple. Our short paper “Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants” is accepted at SIGIR 2020.

We focus on improving the effectiveness of a Virtual Assistant (VA) in recognizing emerging entities in spoken queries. We introduce a method that uses historical user interactions to forecast which entities will gain in popularity and become trending, and it subse- quently integrates the predictions within the Automated Speech Recognition (ASR) component of the VA. Experiments show that our proposed approach results in a 20% relative reduction in errors on emerging entity name utterances without degrading the overall recognition quality of the system.