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Data Challenges in Recommender Systems Research: Insights from Bundle Recommendation
Data Challenges in Recommender Systems Research: Insights from Bundle Recommendation
Bracha Shapira is a Professor at the Department of Software and Information Systems Engineering at Ben-Gurion University of the Negev, Beer-Sheva Israel where she served as the chair of the department and vice dean for research. She leads the Recommender Systems Lab there. She is also a research scientist at the Ebay R&D center. She has published more than 200 papers, some of them won best papers awards in prestigious venues. She holds numerous patents in the field of recommender systems and the application of machine learning to various domains.
Bracha heads the Academia Committee for Promoting Women in Science at the Council for promoting women at the Ministry of Innovation, Science and Technology in Israel.
Bracha Shapira is a Professor at the Department of Software and Information Systems Engineering at Ben-Gurion University of the Negev, Beer-Sheva Israel where she served as the chair of the department and vice dean for research. She leads the Recommender Systems Lab there. She is also a research scientist at the Ebay R&D center. She has published more than 200 papers, some of them won best papers awards in prestigious venues. She holds numerous patents in the field of recommender systems and the application of machine learning to various domains.
Bracha heads the Academia Committee for Promoting Women in Science at the Council for promoting women at the Ministry of Innovation, Science and Technology in Israel.
Recommender Systems have become ubiquitous in the digital landscape,
utilized by major websites such as e-commerce and social media, to provide personalized content recommendations to users. These systems have demonstrated their value to businesses by improving the user experience. The use of bundle recommendations as a marketing strategy has been shown to be beneficial for businesses. In this presentation, I will showcase our latest works on bundle identification and the use of transformers to analyze item relationships in bundle Recommender Systems. I will also highlight the difficulties faced in research in the field of recommender systems, such as data limitations, traditional research protocols, and inadequate metrics. Lastly, I will suggest feasible solutions to address these challenges.
Recommender Systems have become ubiquitous in the digital landscape,
utilized by major websites such as e-commerce and social media, to provide personalized content recommendations to users. These systems have demonstrated their value to businesses by improving the user experience. The use of bundle recommendations as a marketing strategy has been shown to be beneficial for businesses. In this presentation, I will showcase our latest works on bundle identification and the use of transformers to analyze item relationships in bundle Recommender Systems. I will also highlight the difficulties faced in research in the field of recommender systems, such as data limitations, traditional research protocols, and inadequate metrics. Lastly, I will suggest feasible solutions to address these challenges.
| 8:45 | Reception |
|---|---|
| 9:30 | Opening words by WiDS TLV ambassador Nitzan Gado and by Lily Ben Ami, CEO of the Michal Sela Forum |
| 9:50 | Prof. Bracha Shapira – Data Challenges in Recommender Systems Research: Insights from Bundle Recommendation |
| 10:20 | Juan Liu – Accounting Automation: Making Accounting Easier So That People Can Forget About It |
| 10:50 | Break |
| 11:00 | Lightning talks |
| 12:20 | Lunch & poster session |
|---|---|
| 13:20 | Roundtable session & poster session |
| 14:05 | Roundtable closure |
| 14:20 | Break |
| 14:30 | Merav Mofaz – “Every Breath You Take and Every Move You Make…I'll Be Watching You:” The Sensitive Side of Smartwatches |
| 14:50 | Reut Yaniv – Ad Serving in the Online Geo Space Along Routes |
| 15:10 | Rachel Wities - It’s Not Just the Doctor’s Handwriting: Challenges and Opportunities in Healthcare NLP |
| 15:30 | Closing remarks |
| 15:40 | End |
WiDS Tel Aviv is an independent event that is organized by Intuit’s WiDS TLV ambassadors as part of the annual WiDS Worldwide conference, the WiDS Datathon, and an estimated 200 WiDS Regional Events worldwide. Everyone is invited to attend all WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work.
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