Evaluating unfairness of popularity bias in recommender systems: A comprehensive user-centric analysis sciencedirect.com/science/arti

Understanding public opinions on social media for financial sentiment analysis using AI-based techniques sciencedirect.com/science/arti

Lifecycle research of social media rumor refutation effectiveness based on machine learning and visualization technology sciencedirect.com/science/arti

Design and Implementation of an Efficient Electronic Bank Management Information System Based Data Warehouse and Data Mining Processing sciencedirect.com/science/arti

An efficiency relation-specific graph transformation network for knowledge graph representation learning sciencedirect.com/science/arti

EGC: A novel event-oriented graph clustering framework for social media text sciencedirect.com/science/arti

Linking social features of fitness apps with physical activity among Chinese users: Evidence from self-reported and self-tracked behavioral data sciencedirect.com/science/arti

A multiview graph collaborative filtering by incorporating homogeneous and heterogeneous signals sciencedirect.com/science/arti

Efficient customer segmentation in digital marketing using deep learning with swarm intelligence approach sciencedirect.com/science/arti

Innovation input-output and output-lagged input relationships of the next-generation information industry in China sciencedirect.com/science/arti

Named entity recognition in Turkish: A comparative study with detailed error analysis sciencedirect.com/science/arti

Is my stance the same as your stance? A cross validation study of stance detection datasets sciencedirect.com/science/arti

Chatbot as an emergency exist: Mediated empathy for resilience via human-AI interaction during the COVID-19 pandemic sciencedirect.com/science/arti

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The "unofficial" Information Retrieval Mastodon Instance.

Goal: Make idf.social a viable and valuable social space for anyone working in Information Retrieval and related scientific research.

Everyone welcome but expect some level of geekiness on the instance and federated timelines.