Python TOPICS

A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining

A General Framework for Implicit and Explicit Social Recommendation

Achieving Data Truthfulness and Privacy Preservation in Data Markets

Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites

Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data

Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation

Scalable Content-Aware Collaborative Filtering for Location Recommendation

CompetitiveBike: Competitive Analysis and Popularity Prediction of Bike-Sharing Apps Using Multi-Source Data

Weakly-supervised Deep Embedding for Product Review Sentiment Analysis

This project contains:

Base Paper

Flow Diagram

Source Code

Screenshots

Web shots

Running procedure video

Complete PPT

readme

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