GitHub topics: popularity-prediction
Xovee/casflow
TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.
Language: Python - Size: 128 KB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 31 - Forks: 10
Xovee/skapp Fork of YifanZhang-git/SKAPP
AAAI '25. Retrieval-Augmented Multimodal Social Media Popularity Prediction
Language: Python - Size: 84 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 16 - Forks: 0
Xovee/ccgl
TKDE 2022. CCCL: Contrastive Cascade Graph Learning.
Language: Python - Size: 13.5 MB - Last synced at: 16 days ago - Pushed at: about 1 year ago - Stars: 38 - Forks: 5
abdullahashfaqvirk/Book-Recommendation-System
A personalized book recommendation system that combines collaborative filtering and popularity-based methods, featuring an interactive HTML/CSS frontend and a Flask backend.
Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0
jwmds23/SongPopularity
Song Popularity Analysis Dashboard
Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
AiningWang/Video-Popularity-Prediction
including SH model, ML model, MRBF model, Altiman Model...
Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0
dingkeyan93/Intrinsic-Image-Popularity
The pytorch code of the paper "Intrinsic Image Popularity Assessment"
Language: Python - Size: 204 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 229 - Forks: 57
Neel-G-png/Canary-The-social-media-monitor
Social media monitoring system for reddit, youtube and twitter using public API's. Includes popularity prediction graph calculated using upvotes, likes and retweets prediction models.
Language: HTML - Size: 30.4 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 1
csbobby/DTCN_IJCAI
Sequential prediction learning framework and algorithm
Language: Python - Size: 307 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
social-media-prediction/TPIC2017
TPIC: A social media dataset for temporal popularity prediction
Size: 40 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 17 - Forks: 5
CaoQi92/PREP
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction
Language: Python - Size: 86.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 4
brihijoshi/podpop-nlp4musa-2020
Code for "Did You “Read” the Next Episode? Using Textual Cues for Predicting Podcast Popularity" accepted at NLP4MusA Workshop at ISMIR 2020
Language: Python - Size: 172 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1
chiajieh/movies 📦
Modeling and Prediction for Movies
Language: HTML - Size: 836 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
currylym/video_popularity_cache
关于视频流行度预测算法和缓存算法
Language: Jupyter Notebook - Size: 57.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 12 - Forks: 1
ChunjingXiao/TwitterFacebook
Find users who have accounts on both Twitter and Facebook, and identify cross-posts which mean two posts are actually containing the same information.
Language: Python - Size: 13.9 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
schatzopoulos/ArtSim
Framework that can be applied on top of any existing popularity estimation method to improve its accuracy.
Language: Python - Size: 116 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
eldinsahbaz/PopularityPrediction
Predicting the number of views (i.e. popularity) of videos without time series data
Language: Python - Size: 69.3 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 1
ChunjingXiao/TwitterPopularity
An implementation for our paper: Time sensitivity-based popularity prediction for online promotion on Twitter (Information Sciences, 2020). This is an extended Latent Factor Model that can predict popularity values of tweets on Twitter when they are published at various times. The data includes Twitter user profiles and tweet information (tweetID, Text, published time, userID, retweetNumber).
Language: Python - Size: 12.4 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1