AI Paper Atlas

Research map / Probabilistic and scientific modeling / Molecules and proteins

Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods

AAAI 2023 · Probabilistic and scientific modeling › Molecules and proteins · approach: Cold-start recommendation models · 4 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
DANTE vs baselines with varying start sizesDANTE · LastFM, Memes, Diggmedian SLE (final size)Helped
DANTE vs baselines with varying start sizesDANTE · LastFM, Memes, Diggmean SLENo clear effect
DANTE vs CasFlow with varying observation time tcDANTE · final size predictionmedian and mean SLEHurt
DANTE vs Features-linear and Features-deep over tcDANTE · final size predictionSLENo clear effect
discriminative vs generative model on synthetic data (ablation)DANTE · synthetic Ogata data, 100 usersSLEMixed
split population formulationDANTE · Irvineengagement probability pi: 0.57Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy