Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine
User Modeling and User-Adapted Interaction
Collaborative Information Seeking
Computer
Google Shared. A Case-Study in Social Search
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
An elaborated model of social search
Information Processing and Management: an International Journal
Do your friends make you smarter?: An analysis of social strategies in online information seeking
Information Processing and Management: an International Journal
Social and collaborative web search: an evaluation study
Proceedings of the 16th international conference on Intelligent user interfaces
A Case Study of Collaboration and Reputation in Social Web Search
ACM Transactions on Intelligent Systems and Technology (TIST)
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The purpose of this paper is to provide a deployment update for the HeyStaks social search system which uses recommendation techniques to add collaboration to mainstream search engines such as Google, Bing, and Yahoo. We describe our the results of initial deployments, including an assessment of the quality of HeyStaks' recommendations, and highlight some lessons learned in the marketplace