5 papers
Extracting Important Tokens in E-Commerce Queries with a Tag Interaction-Aware Transformer Model
Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal +4
The major task of any e-commerce search engine is to retrieve the most relevant inventory items, which best match the user intent reflected in a query. This task is non-trivial due…
Hierarchical Job Classification with Similarity Graph Integration
Md Ahsanul Kabir, Kareem Abdelfatah, Mohammed Korayem +1
In the dynamic realm of online recruitment, accurate job classification is paramount for optimizing job recommendation systems, search rankings, and labor market analyses. As job m…
Extracting Cause-Effect Pairs from a Sentence with a Dependency-Aware Transformer Model
Md Ahsanul Kabir, Abrar Jahin, Mohammad Al Hasan
Extracting cause and effect phrases from a sentence is an important NLP task, with numerous applications in various domains, including legal, medical, education, and scientific res…
A Survey on E-Commerce Learning to Rank
Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal +2
In e-commerce, ranking the search results based on users' preference is the most important task. Commercial e-commerce platforms, such as, Amazon, Alibaba, eBay, Walmart, etc. perf…
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs
Md Ahsanul Kabir, Kareem Abdelfatah, Shushan He +2
As recruitment and talent acquisition have become more and more competitive, recruitment firms have become more sophisticated in using machine learning (ML) methodologies for optim…