output
20202023
most citedA Comprehensive Review of Modern Object Segmentation Approaches

43 citations

8 papers

cs.CV202343 cited

A Comprehensive Review of Modern Object Segmentation Approaches

Yuanbo Wang, Unaiza Ahsan, Hanyan Li +1

Image segmentation is the task of associating pixels in an image with their respective object class labels. It has a wide range of applications in many industries including healthc…

cs.IR202222 cited

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations

Walid Shalaby, Sejoon Oh, Amir Afsharinejad +2

Session-based recommender systems (SBRSs) have shown superior performance over conventional methods. However, they show limited scalability on large-scale industrial datasets since…

cs.LG20225 cited

Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction

Rongzhi Zhang, Rebecca West, Xiquan Cui +1

On e-commerce platforms, predicting if two products are compatible with each other is an important functionality to achieve trustworthy product recommendation and search experience…

cs.IR20219 cited

Diversifying Multi-aspect Search Results Using Simpson's Diversity Index

Jianghong Zhou, Eugene Agichtein, Surya Kallumadi

In search and recommendation, diversifying the multi-aspect search results could help with reducing redundancy, and promoting results that might not be shown otherwise. Many previo…

cs.IR20217 cited

De-Biased Modelling of Search Click Behavior with Reinforcement Learning

Jianghong Zhou, Sayyed M. Zahiri, Simon Hughes +3

Users' clicks on Web search results are one of the key signals for evaluating and improving web search quality and have been widely used as part of current state-of-the-art Learnin…

cs.AI20211 cited

Interpretable Methods for Identifying Product Variants

Rebecca West, Khalifeh Al Jadda, Unaiza Ahsan +2

For e-commerce companies with large product selections, the organization and grouping of products in meaningful ways is important for creating great customer shopping experiences a…