GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Accessibility of information on the Web
intelligence
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
An agent-based approach to knowledge management
Proceedings of the eleventh international conference on Information and knowledge management
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine
User Modeling and User-Adapted Interaction
A Trust-enabled P2P Recommender System
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
A model of a trust-based recommendation system on a social network
Autonomous Agents and Multi-Agent Systems
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IEEE Intelligent Systems
Facts or friends?: distinguishing informational and conversational questions in social Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Seeking Can Be Social
Computer
Producing timely recommendations from social networks through targeted search
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
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
A case for P2P infrastructure for social networks - opportunities & challenges
WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
What do people ask their social networks, and why?: a survey study of status message q&a behavior
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Automation of social networks with QA agents
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Journal of Information Science
A P2P REcommender System based on Gossip Overlays (PREGO)
CIT '10 Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology
Agents for Social Search in Long-Term Digital Preservation
SKG '10 Proceedings of the 2010 Sixth International Conference on Semantics, Knowledge and Grids
Modeling answerer behavior in collaborative question answering systems
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Generating predictive movie recommendations from trust in social networks
iTrust'06 Proceedings of the 4th international conference on Trust Management
An overview of agents in knowledge management
INAP'05 Proceedings of the 16th international conference on Applications of Declarative Programming and Knowledge Management
Propagation of question waves by means of trust in a social network
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Survey of social search from the perspectives of the village paradigm and online social networks
Journal of Information Science
Question Waves: A multicast query routing algorithm for social search
Information Sciences: an International Journal
| Hi-index | 0.07 |
This paper describes the Asknext protocol, which automates knowledge exchanges by connecting agents using social networks. The protocol combines social answering systems, in which people answer queries or questions, with social feedback systems, in which feedback is used to sort search results. In Asknext, each agent represents a user, her contacts and her knowledge. When an agent receives a question, it will try to answer it; if it has no answer available, the agent forwards a message with that question to its contacts or shows it to its user. Asknext's main contributions are that it introduces stop messages and different propagation speeds for different messages, which allow a reduction in the spread of messages after an information need has been satisfied. A difference in the propagation speed of messages results in the search stopping when a relevant answer has been found. This paper describes a formalisation of the protocol, its mathematical model and experiments showing that the number of messages generated is lower than those generated by social search protocols such as Sixearch. Concretely, Asknext sends 20 times fewer messages than Sixearch; therefore, Asknext significantly improves the scalability of social search protocols, with as little as 0.05% loss of answer suitability, with the result that in many cases, there is no loss of suitability.