3 citations · 6 across the 9 of their papers we have counts for
9 papers
Image-Seeking Intent Prediction for Cross-Device Product Search
Mariya Hendriksen, Svitlana Vakulenko, Jordan Massiah +2
Large Language Models (LLMs) are transforming personalized search, recommendations, and customer interaction in e-commerce. Customers increasingly shop across multiple devices, fro…
Benchmark Granularity and Model Robustness for Image-Text Retrieval
Mariya Hendriksen, Shuo Zhang, Ridho Reinanda +3
Image-Text Retrieval (ITR) systems are central to multimodal information access, with Vision-Language Models (VLMs) showing strong performance on standard benchmarks. However, thes…
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control
Thong Nguyen, Mariya Hendriksen, Andrew Yates +1
Learned sparse retrieval (LSR) is a family of neural methods that encode queries and documents into sparse lexical vectors that can be indexed and retrieved efficiently with an inv…
Multimodal Learned Sparse Retrieval for Image Suggestion
Thong Nguyen, Mariya Hendriksen, Andrew Yates
Learned Sparse Retrieval (LSR) is a group of neural methods designed to encode queries and documents into sparse lexical vectors. These vectors can be efficiently indexed and retri…
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning
Maurits Bleeker, Mariya Hendriksen, Andrew Yates +1
Vision-language models (VLMs) mainly rely on contrastive training to learn general-purpose representations of images and captions. We focus on the situation when one image is assoc…
Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study
Mariya Hendriksen, Svitlana Vakulenko, Ernst Kuiper +1
Most approaches to cross-modal retrieval (CMR) focus either on object-centric datasets, meaning that each document depicts or describes a single object, or on scene-centric dataset…
Unimodal vs. Multimodal Siamese Networks for Outfit Completion
Mariya Hendriksen, Viggo Overes
The popularity of online fashion shopping continues to grow. The ability to offer an effective recommendation to customers is becoming increasingly important. In this work, we focu…
Extending CLIP for Category-to-image Retrieval in E-commerce
Mariya Hendriksen, Maurits Bleeker, Svitlana Vakulenko +3
E-commerce provides rich multimodal data that is barely leveraged in practice. One aspect of this data is a category tree that is being used in search and recommendation. However,…
Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers
Mariya Hendriksen, Ernst Kuiper, Pim Nauts +2
The popularity of e-commerce platforms continues to grow. Being able to understand, and predict customer behavior is essential for customizing the user experience through personali…