Improve customer engagement with targeted promotions that respect business limits.
Qiqi Li, Roopali Singh, Charin Polpanumas
― 5 min read
Computer Science - Information Retrieval
RSSA system that accurately suggests beauty products based on ingredients and skin needs.
Siliang Liu, Rahul Suresh, Amin Banitalebi-Dehkordi
― 5 min read
SemDI enhances accuracy in identifying event causality using context.
Haoran Li, Qiang Gao, Hongmei Wu
― 5 min read
Explore methods to improve user engagement predictions through data augmentation.
Yizhou Dang, Enneng Yang, Yuting Liu
― 5 min read
Learn how to create effective knowledge graphs for industry applications.
Sascha Meckler
― 6 min read
New methods improve Large Language Models through efficient information processing.
Sourav Verma
― 5 min read
Learn how to assess clustering methods effectively using various metrics.
Stephan van Staden
― 4 min read
BPR remains effective in suggesting items based on user preferences.
Aleksandr Milogradskii, Oleg Lashinin, Alexander P
― 6 min read
Exploring synthetic data's role in promoting fairness in recommendation algorithms.
Elena Stefancova, Cassidy All, Joshua Paup
― 6 min read
New methods enhance recommendations by utilizing detailed user and item information.
Utkarsh Priyam, Hemit Shah, Edoardo Botta
― 4 min read
Token pooling improves data storage while maintaining retrieval accuracy.
Benjamin Clavié, Antoine Chaffin, Griffin Adams
― 6 min read
FLEX method offers a new approach for evaluating text-to-SQL systems accurately.
Heegyu Kim, Taeyang Jeon, Seunghwan Choi
― 6 min read
A novel model enhances text embeddings through in-context learning strategies.
Chaofan Li, MingHao Qin, Shitao Xiao
― 5 min read
QualIT enhances text analysis by combining language models and clustering techniques.
Satya Kapoor, Alex Gil, Sreyoshi Bhaduri
― 5 min read
New study develops models to predict lightning-ignited wildfires worldwide.
Assaf Shmuel, Teddy Lazebnik, Oren Glickman
― 6 min read
This study assesses various models for retrieving clinical information effectively.
Skatje Myers, Timothy A. Miller, Yanjun Gao
― 7 min read
Assessing the role of language models in relevance judgments for information retrieval.
Ian Soboroff
― 6 min read
EMERS helps researchers track energy use in recommender systems, promoting environmental awareness.
Lukas Wegmeth, Tobias Vente, Alan Said
― 5 min read
This study enhances key information extraction using a new model for unstructured documents.
Furkan Pala, Mehmet Yasin Akpınar, Onur Deniz
― 9 min read
Examining how recommendation systems change user preferences over time.
Erica Coppolillo, Simone Mungari, Ettore Ritacco
― 7 min read
HEN improves memory retrieval in neural networks by enhancing pattern separability.
Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi
― 6 min read
This research examines LLMs' role in improving data extraction and interaction.
Omar Mussa, Omer Rana, Benoît Goossens
― 6 min read
Exploring how humans and machines perceive faces in random patterns.
Mark Hamilton, Simon Stent, Vasha DuTell
― 6 min read
A study of datasets and metrics in question answering research.
Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani
― 4 min read
This paper presents a framework for improving NER in the Italian language using advanced models.
Andrew Zamai, Leonardo Rigutini, Marco Maggini
― 5 min read
A study on improving recommendation systems by focusing on feature extraction techniques.
Matteo Attimonelli, Danilo Danese, Angela Di Fazio
― 7 min read
LLM-Cure streamlines app review analysis for better user experience.
Maram Assi, Safwat Hassan, Ying Zou
― 5 min read
Enhancing relevance in e-commerce through advanced ranking techniques.
Qi Liu, Atul Singh, Jingbo Liu
― 6 min read
Combining long and short-term data for better product search results.
Qi Liu, Atul Singh, Jingbo Liu
― 6 min read
Using simulations to enhance onboarding processes for new users.
Chih-Wei Hsu, Martin Mladenov, Ofer Meshi
― 7 min read
Researchers tackled real-world data search challenges at NeurIPS 2023.
Harsha Vardhan Simhadri, Martin Aumüller, Amir Ingber
― 6 min read
Explore how Spacewalker improves unstructured data annotation and analysis.
Lukas Heine, Fabian Hörst, Jana Fragemann
― 6 min read
A new framework improves personalized recommendations using text and images.
Yueqi Wang, Zhenrui Yue, Huimin Zeng
― 5 min read
SOSK helps users track and extract keywords from software security reports.
Phong Minh Vu, Tung Thanh Nguyen
― 6 min read
Assessing methods to ensure consistency in cluster identifiers over time.
Stephan van Staden
― 6 min read
A study on improving retrieval methods for diverse opinions on complex questions.
Hung-Ting Chen, Eunsol Choi
― 7 min read
Experts discuss user simulations to enhance information access and system evaluations.
Timo Breuer, Christin Katharina Kreutz, Norbert Fuhr
― 5 min read
Improving travel suggestions by focusing on sustainability metrics and modern technology.
Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl
― 6 min read
Recommender systems can enhance access to historical documents in digital archives.
Florian Atzenhofer-Baumgartner, Bernhard C. Geiger, Georg Vogeler
― 6 min read
A new method improves search rankings using fewer examples.
Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly
― 5 min read