GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Learning in the presence of concept drift and hidden contexts
Machine Learning
Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
Proceedings of the 11th international conference on World Wide Web
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Using Temporal Data for Making Recommendations
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
A graph model for E-commerce recommender systems
Journal of the American Society for Information Science and Technology
Time weight collaborative filtering
Proceedings of the 14th ACM international conference on Information and knowledge management
Beyond streams and graphs: dynamic tensor analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Research Paper Recommender Systems: A Random-Walk Based Approach
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System
IEEE Intelligent Systems
GraphScope: parameter-free mining of large time-evolving graphs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Video suggestion and discovery for youtube: taking random walks through the view graph
Proceedings of the 17th international conference on World Wide Web
EigenRank: a ranking-oriented approach to collaborative filtering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Expertise Search in a Time-Varying Social Network
WAIM '08 Proceedings of the 2008 The Ninth International Conference on Web-Age Information Management
Tag recommendations in social bookmarking systems
AI Communications
Collaborative Filtering for Implicit Feedback Datasets
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Collaborative filtering with temporal dynamics
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Grocery shopping recommendations based on basket-sensitive random walk
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Temporal collaborative filtering with adaptive neighbourhoods
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Random walk based entity ranking on graph for multidimensional recommendation
Proceedings of the fifth ACM conference on Recommender systems
Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy
Proceedings of the fifth ACM conference on Recommender systems
TOAST: a topic-oriented tag-based recommender system
WISE'11 Proceedings of the 12th international conference on Web information system engineering
A generic graph-based multidimensional recommendation framework and its implementations
Proceedings of the 21st international conference companion on World Wide Web
Discovering collective viewpoints on micro-blogging events based on community and temporal aspects
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Collective viewpoint identification of low-level participation
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Interest prediction on multinomial, time-evolving social graphs
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Tag-aware recommender systems: a state-of-the-art survey
Journal of Computer Science and Technology - Special issue on Community Analysis and Information Recommendation
Product recommendation with temporal dynamics
Expert Systems with Applications: An International Journal
Context-aware prediction of user's first click
Proceedings of the 1st International Workshop on Context Discovery and Data Mining
Increasing temporal diversity with purchase intervals
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Local implicit feedback mining for music recommendation
Proceedings of the sixth ACM conference on Recommender systems
PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems
Expert Systems with Applications: An International Journal
PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems
Proceedings of the 21st ACM international conference on Information and knowledge management
Time-aware topic recommendation based on micro-blogs
Proceedings of the 21st ACM international conference on Information and knowledge management
Social temporal collaborative ranking for context aware movie recommendation
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Collaborative filtering by analyzing dynamic user interests modeled by taxonomy
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Fast group recommendations by applying user clustering
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
A group recommendation approach for service selection
Proceedings of the Fourth Asia-Pacific Symposium on Internetware
A hidden Markov model for collaborative filtering
MIS Quarterly
Time-aware point-of-interest recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Modeling user's receptiveness over time for recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Opportunity model for e-commerce recommendation: right product; right time
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Recommendation for online social feeds by exploiting user response behavior
Proceedings of the 22nd international conference on World Wide Web companion
From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
Proceedings of the 22nd international conference on World Wide Web
Is it time for a career switch?
Proceedings of the 22nd international conference on World Wide Web
Effectiveness of the data generated on different time in latent factor model
Proceedings of the 7th ACM conference on Recommender systems
Improving augmented reality using recommender systems
Proceedings of the 7th ACM conference on Recommender systems
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
Modeling and broadening temporal user interest in personalized news recommendation
Expert Systems with Applications: An International Journal
Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols
User Modeling and User-Adapted Interaction
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Accurately capturing user preferences over time is a great practical challenge in recommender systems. Simple correlation over time is typically not meaningful, since users change their preferences due to different external events. User behavior can often be determined by individual's long-term and short-term preferences. How to represent users' long-term and short-term preferences? How to leverage them for temporal recommendation? To address these challenges, we propose Session-based Temporal Graph (STG) which simultaneously models users' long-term and short-term preferences over time. Based on the STG model framework, we propose a novel recommendation algorithm Injected Preference Fusion (IPF) and extend the personalized Random Walk for temporal recommendation. Finally, we evaluate the effectiveness of our method using two real datasets on citations and social bookmarking, in which our proposed method IPF gives 15%-34% improvement over the previous state-of-the-art.