no code implementations • 21 Dec 2023 • Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry Drake, Hamid Haidarian, Faizan Javed, Haesun Park
In the rapidly evolving healthcare industry, platforms now have access to not only traditional medical records, but also diverse data sets encompassing various patient interactions, such as those from healthcare web portals.
no code implementations • 8 Oct 2023 • Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed
Efficiently finding doctors and locations is an important search problem for patients in the healthcare domain, for which traditional information retrieval methods tend not to work optimally.
no code implementations • 22 Aug 2023 • Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry Drake, Hamid Haidarian, Faizan Javed, Haesun Park
We introduce a novel profile-based patient clustering model designed for clinical data in healthcare.
no code implementations • 23 Apr 2021 • Ali Ahmadvand, Surya Kallumadi, Faizan Javed, Eugene Agichtein
Mapping a search query to a set of relevant categories in the product taxonomy is a significant challenge in e-commerce search for two reasons: 1) Training data exhibits severe class imbalance problem due to biased click behavior, and 2) queries with little customer feedback (e. g., tail queries) are not well-represented in the training set, and cause difficulties for query understanding.
no code implementations • 11 Dec 2020 • Xiang Cheng, Mitchell Bowden, Bhushan Ramesh Bhange, Priyanka Goyal, Thomas Packer, Faizan Javed
Beyond our application, this TripleLearn framework, as well as the end-to-end process, is model-independent and problem-independent, so it can be generalized to more industrial applications, especially to the eCommerce industry which has similar data foundations and problems.
no code implementations • 19 Sep 2020 • Yun Zhu, Sayyed M. Zahiri, Jiaqi Wang, Han-Yu Chen, Faizan Javed
Entity-based semantic search has been widely adopted in modern search engines to improve search accuracy by understanding users' intent.
no code implementations • 18 Aug 2020 • Jason Ingyu Choi, Surya Kallumadi, Bhaskar Mitra, Eugene Agichtein, Faizan Javed
Retrieving all semantically relevant products from the product catalog is an important problem in E-commerce.
no code implementations • 28 May 2020 • Ali Ahmadvand, Surya Kallumadi, Faizan Javed, Eugene Agichtein
In this paper, we introduce Joint Query Intent Understanding (JointMap), a deep learning model to simultaneously learn two different high-level user intent tasks: 1) identifying a query's commercial vs. non-commercial intent, and 2) associating a set of relevant product categories in taxonomy to a product query.
no code implementations • 20 Sep 2016 • Janani Balaji, Faizan Javed, Mayank Kejriwal, Chris Min, Sam Sander, Ozgur Ozturk
Entity Resolution, also called record linkage or deduplication, refers to the process of identifying and merging duplicate versions of the same entity into a unified representation.
no code implementations • 20 Sep 2016 • Yun Zhu, Faizan Javed, Ozgur Ozturk
A large-scale job title classification system can power various downstream applications such as semantic search, job recommendations and labor market analytics.
1 code implementation • 2 Jun 2016 • Faizan Javed, Matt McNair, Ferosh Jacob, Meng Zhao
Document classification for text, images and other applicable entities has long been a focus of research in academia and also finds application in many industrial settings.