Search Results for author: Faizan Javed

Found 8 papers, 1 papers with code

DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search

no code implementations23 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.

An End-to-End Solution for Named Entity Recognition in eCommerce Search

no code implementations11 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.

Named Entity Recognition NER

Active Learning for Product Type Ontology Enhancement in E-commerce

no code implementations19 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.

Active Learning

Semantic Product Search for Matching Structured Product Catalogs in E-Commerce

no code implementations18 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.

JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search

no code implementations28 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.

Active Learning Information Seeking

Semantic Similarity Strategies for Job Title Classification

no code implementations20 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.

Classification General Classification +2

An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets

no code implementations20 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.

Entity Resolution

Towards a Job Title Classification System

1 code implementation2 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.

Classification Document Classification +1

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