Retrieving, analyzing, and processing large data can be challenging. An effective and
efficient mechanism for overcoming these challenges is to cluster the data into a compact …

Product bundling is a commonly-used marketing strategy in both offline retailers and online
e-commerce systems. Current research on bundle recommendation is limited by:(1) noisy …

A bundle is a pre-defined set of items that are collected together. In many domains, bundling
is one of the most important marketing strategies for item promotion, commonly used in e …

List recommendation, an approach for recommending a set of items closely related to user
preferences, plays a significant role in improving the user experience and has received …

The importance of e-commerce platforms has driven forward a growing body of research
work on e-commerce search. We present the first large-scale and in-depth study of query …

Product bundling represents a prevalent marketing strategy in both offline stores and e-
commerce systems. Despite its widespread use, previous studies on bundle …

Visual search has become popular in recent years, allowing users to search by an image
they are taking using their mobile device or uploading from their photo library. One domain …

Question Answering (QA) effectively evaluates language models' reasoning and knowledge
depth. While QA datasets are plentiful in areas like general domain and biomedicine …

Product descriptions play an important role in the e-commerce ecosystem. Yet, on leading e-
commerce websites product descriptions are often lacking or missing. In this work, we …

Bundle recommendation aims to enhance business profitability and user convenience by
suggesting a set of interconnected items. In real-world scenarios, leveraging the impact of …