Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Specifying preferences based on user history
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Similarity measure and instance selection for collaborative filtering
WWW '03 Proceedings of the 12th international conference on World Wide Web
Collaborative filtering via gaussian probabilistic latent semantic analysis
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
On the Temporal Analysis for Improved Hybrid Recommendations
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Mining concept-drifting data streams using ensemble classifiers
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
A comparison of several predictive algorithms for collaborative filtering on multi-valued ratings
Proceedings of the 2004 ACM symposium on Applied computing
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
An automatic weighting scheme for collaborative filtering
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A study of methods for normalizing user ratings in collaborative filtering
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Systematic data selection to mine concept-drifting data streams
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
TiVo: making show recommendations using a distributed collaborative filtering architecture
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Taxonomy-driven computation of product recommendations
Proceedings of the thirteenth ACM international conference on Information and knowledge management
A framework for projected clustering of high dimensional data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A recent-biased dimension reduction technique for time series data
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Recency-based collaborative filtering
ADC '06 Proceedings of the 17th Australasian Database Conference - Volume 49
Collaborative filtering on streaming data with interest-drifting
Intelligent Data Analysis - Knowlegde Discovery from Data Streams
Towards Intelligent and Adaptive Digital Library Services
ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
Collaborative filtering with temporal dynamics
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A Collaborative Filtering Algorithm with Phased Forecast
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Time-Sensitive Language Modelling for Online Term Recurrence Prediction
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Time-Dependent Models in Collaborative Filtering Based Recommender System
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Personalized recommendation based on the personal innovator degree
Proceedings of the third ACM conference on Recommender systems
Enhancing recommender systems under volatile userinterest drifts
Proceedings of the 18th ACM conference on Information and knowledge management
ePaper: A personalized mobile newspaper
Journal of the American Society for Information Science and Technology
Neighborhood counting for financial time series forecasting
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Collaborative filtering with temporal dynamics
Communications of the ACM
Time filtering for better recommendations with small and sparse rating matrices
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
A recommender system with interest-drifting
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
A time weighted neighbourhood counting similarity for time series analysis
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Recsplorer: recommendation algorithms based on precedence mining
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Temporal recommendation on graphs via long- and short-term preference fusion
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Online evolutionary collaborative filtering
Proceedings of the fourth ACM conference on Recommender systems
A recommender system based on tag and time information for social tagging systems
Expert Systems with Applications: An International Journal
Design and evaluation of a command recommendation system for software applications
ACM Transactions on Computer-Human Interaction (TOCHI)
Modeling multiple users' purchase over a single account for collaborative filtering
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
Recommender systems at the long tail
Proceedings of the fifth ACM conference on Recommender systems
Proceedings of the fifth ACM conference on Recommender systems
LOGO: a long-short user interest integration in personalized news recommendation
Proceedings of the fifth ACM conference on Recommender systems
Utilizing related products for post-purchase recommendation in e-commerce
Proceedings of the fifth ACM conference on Recommender systems
Engineering Applications of Artificial Intelligence
Collaborative filtering based on significances
Information Sciences: an International Journal
Context-aware movie recommendation based on signal processing and machine learning
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Interest-based real-time content recommendation in online social communities
Knowledge-Based Systems
Predicting correctness of problem solving in ITS with a temporal collaborative filtering approach
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
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
Collaborative filtering via temporal euclidean embedding
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
eTrust: understanding trust evolution in an online world
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Product recommendation with temporal dynamics
Expert Systems with Applications: An International Journal
Local implicit feedback mining for music recommendation
Proceedings of the sixth ACM conference on Recommender systems
Discerning actuality in backstage: comprehensible contextual aging
EC-TEL'12 Proceedings of the 7th European conference on Technology Enhanced Learning
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
Exploiting time contexts in collaborative filtering: an item splitting approach
Proceedings of the 3rd Workshop on Context-awareness in Retrieval and Recommendation
Time-aware point-of-interest recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Measuring spontaneous devaluations in user preferences
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
Proceedings of the 22nd international conference on World Wide Web
Understanding temporal dynamics of ratings in the book recommendation scenario
Proceedings of the 2013 International Conference on Information Systems and Design of Communication
Identification of collective viewpoints on microblogs
Data & Knowledge Engineering
Prediction of members' return visit rates using a time factor
Electronic Commerce Research and Applications
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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Collaborative filtering is regarded as one of the most promising recommendation algorithms. The item-based approaches for collaborative filtering identify the similarity between two items by comparing users' ratings on them. In these approaches, ratings produced at different times are weighted equally. That is to say, changes in user purchase interest are not taken into consideration. For example, an item that was rated recently by a user should have a bigger impact on the prediction of future user behaviour than an item that was rated a long time ago. In this paper, we present a novel algorithm to compute the time weights for different items in a manner that will assign a decreasing weight to old data. More specifically, the users' purchase habits vary. Even the same user has quite different attitudes towards different items. Our proposed algorithm uses clustering to discriminate between different kinds of items. To each item cluster, we trace each user's purchase interest change and introduce a personalized decay factor according to the user own purchase behaviour. Empirical studies have shown that our new algorithm substantially improves the precision of item-based collaborative filtering without introducing higher order computational complexity.