Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Voting for candidates: adapting data fusion techniques for an expert search task
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Modeling information-seeker satisfaction in community question answering
ACM Transactions on Knowledge Discovery from Data (TKDD)
Learning to recognize reliable users and content in social media with coupled mutual reinforcement
Proceedings of the 18th international conference on World wide web
Regression-based latent factor models
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Question utility: a novel static ranking of question search
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Model for Voter Scoring and Best Answer Selection in Community Q&A Services
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A unified approach to building hybrid recommender systems
Proceedings of the third ACM conference on Recommender systems
Learning to recommend questions based on user ratings
Proceedings of the 18th ACM conference on Information and knowledge management
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Evaluating and predicting answer quality in community QA
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Uncovering social spammers: social honeypots + machine learning
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Recommender Systems Handbook
Care to comment?: recommendations for commenting on news stories
Proceedings of the 21st international conference on World Wide Web
Learning from the past: answering new questions with past answers
Proceedings of the 21st international conference on World Wide Web
Dual role model for question recommendation in community question answering
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Question routing in community based QA: incorporating answer quality and answer content
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics
To answer or not: what non-qa social activities can tell
Proceedings of the 2013 conference on Computer supported cooperative work
Proceedings of the 22nd international conference on World Wide Web
Routing questions for collaborative answering in community question answering
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
CQArank: jointly model topics and expertise in community question answering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Who have got answers?: growing the pool of answerers in a smart enterprise social QA system
Proceedings of the 19th international conference on Intelligent User Interfaces
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Yahoo! Answers is currently one of the most popular question answering systems. We claim however that its user experience could be significantly improved if it could route the "right question" to the "right user." Indeed, while some users would rush answering a question such as "what should I wear at the prom?," others would be upset simply being exposed to it. We argue here that Community Question Answering sites in general and Yahoo! Answers in particular, need a mechanism that would expose users to questions they can relate to and possibly answer. We propose here to address this need via a multi-channel recommender system technology for associating questions with potential answerers on Yahoo! Answers. One novel aspect of our approach is exploiting a wide variety of content and social signals users regularly provide to the system and organizing them into channels. Content signals relate mostly to the text and categories of questions and associated answers, while social signals capture the various user interactions with questions, such as asking, answering, voting, etc. We fuse and generalize known recommendation approaches within a single symmetric framework, which incorporates and properly balances multiple types of signals according to channels. Tested on a large scale dataset, our model exhibits good performance, clearly outperforming standard baselines.