GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
A collaborative filtering algorithm and evaluation metric that accurately model the user experience
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 10th international conference on Intelligent user interfaces
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
IEEE Transactions on Knowledge and Data Engineering
Scalable collaborative filtering using cluster-based smoothing
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Detecting noise in recommender system databases
Proceedings of the 11th international conference on Intelligent user interfaces
A privacy preserving web recommender system
Proceedings of the 2006 ACM symposium on Applied computing
Analysis of a low-dimensional linear model under recommendation attacks
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Collaborative Filtering Using Dual Information Sources
IEEE Intelligent Systems
Effective missing data prediction for collaborative filtering
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Broad expertise retrieval in sparse data environments
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Addressing cold-start problem in recommendation systems
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Modeling online reviews with multi-grain topic models
Proceedings of the 17th international conference on World Wide Web
Attack resistant collaborative filtering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
An economic model of user rating in an online recommender system
UM'05 Proceedings of the 10th international conference on User Modeling
Geolocated movie recommendations based on expert collaborative filtering
Proceedings of the fourth ACM conference on Recommender systems
Movie recommendations based in explicit and implicit features extracted from the Filmtipset dataset
Proceedings of the Workshop on Context-Aware Movie Recommendation
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Towards three-stage recommender support for online consumers: implications from a user study
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
A unified framework for recommendations based on quaternary semantic analysis
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Peer and authority pressure in information-propagation models
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
A scalable tag-based recommender system for new users of the social web
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Wisdom of the better few: cold start recommendation via representative based rating elicitation
Proceedings of the fifth ACM conference on Recommender systems
Expert Stock Picker: The Wisdom of (Experts in) Crowds
International Journal of Electronic Commerce
Vulnerabilities and countermeasures in context-aware social rating services
ACM Transactions on Internet Technology (TOIT)
Pushing the boundaries of crowd-enabled databases with query-driven schema expansion
Proceedings of the VLDB Endowment
Determining user expertise for improving recommendation performance
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Social knowledge-based recommender system. Application to the movies domain
Expert Systems with Applications: An International Journal
When sparsity meets noise in collaborative filtering
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Spotting trends: the wisdom of the few
Proceedings of the sixth ACM conference on Recommender systems
PRemiSE: personalized news recommendation via implicit social experts
Proceedings of the 21st ACM international conference on Information and knowledge management
Location-based and preference-aware recommendation using sparse geo-social networking data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Mining large streams of user data for personalized recommendations
ACM SIGKDD Explorations Newsletter
Combining prestige and relevance ranking for personalized recommendation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Personalized expert-based recommender system: training C-SVM for personalized expert identification
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Personalized news recommendation via implicit social experts
Information Sciences: an International Journal
Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems
Expert Systems with Applications: An International Journal
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Nearest-neighbor collaborative filtering provides a successful means of generating recommendations for web users. However, this approach suffers from several shortcomings, including data sparsity and noise, the cold-start problem, and scalability. In this work, we present a novel method for recommending items to users based on expert opinions. Our method is a variation of traditional collaborative filtering: rather than applying a nearest neighbor algorithm to the user-rating data, predictions are computed using a set of expert neighbors from an independent dataset, whose opinions are weighted according to their similarity to the user. This method promises to address some of the weaknesses in traditional collaborative filtering, while maintaining comparable accuracy. We validate our approach by predicting a subset of the Netflix data set. We use ratings crawled from a web portal of expert reviews, measuring results both in terms of prediction accuracy and recommendation list precision. Finally, we explore the ability of our method to generate useful recommendations, by reporting the results of a user-study where users prefer the recommendations generated by our approach.