Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Boosting video popularity through recommendation systems
The YouTube video recommendation system
Streaming Recommender Systems
A Machine-Learning Item Recommendation System for Video Games
Improving Web Movie Recommender System Based on Emotions
DeepMovRS: A unified framework for deep learning-based movie recommender systems
PeakVizor: Visual Analytics of Peaks in Video Clickstreams from Massive Open Online Courses
Content Recommendation for Viral Social Influence
A hybrid approach for movie recommendation
The Netflix Recommender System: Algorithms, Business Value, and Innovation
Design of Movie Recommendation System by Means of Collaborative Filtering
About Performance Evaluation of the Movie Recommendation Systems
Video recommendation using crowdsourced time-sync comments
Using early view patterns to predict the popularity of youtube videos
Collaborative video reindexing via matrix factorization
Accurate and Novel Recommendations: An Algorithm Based on Popularity Forecasting
Interactive Social Recommendation
A Proposal for an Open Local Movie Recommender
Fisher Kernel Temporal Variation-based Relevance Feedback for video retrieval
Movie Recommendations Using Social Networks
An efficient ad recommendation system for TV programs
TCP/IP Stack Implementation for Communication over IP with AUTOSAR Ethernet Specification
A Novel Malware Analysis Framework for Malware Detection and Classification using Machine Learning Approach
Grouper: A Dynamic Clustering Interface to Web Search Results
Learning Robust, Transferable Sentence Representations for Text Classification
Watch global, cache local: YouTube network traffic at a campus network: measurements and implications