Cobot: Real Time Multi User Conversational Search and Recommendations
نویسندگان
چکیده
Cobot is a new intelligent agent platform that connects users through real-time and off-line conversations about their health and medical issues. Intelligent web based information agents (conversational/community bots) participate in each conversation providing highly-relevant real-time informational recommendations and connecting people with relevant conversations and other community members. Cobot provides an innovative approach to facilitate easier information access allowing users to exchange information through a natural language conversational approach. Conversational Search(CS) is an interactive and collaborative information finding interaction. The participants in this interaction engage in social conversations aided with an intelligent information agent (Cobot) that provides contextually relevant factual, web search and social search recommendations. Cobot aims to help users make faster and more informed search and discovery. It also helps the agent learn about conversations with interactions and social feedback to make better recommendations. Cobot leverages the social discovery process by integrating web information retrieval along with the social interactions and recommendations.
منابع مشابه
Conversational Framework for Web Search and Recommendations
In this paper, we describe a Conversational Interaction framework as an innovative and natural approach to facilitate easier information access by combining web search and recommendations. This framework includes an intelligent information agent (Cobot) in the conversation that provides contextually relevant social and web search recommendations. This setup leverages the information discovery p...
متن کاملSocio-Semantic Health Information Access
We describe Cobot, a mixed initiative socio-semantic conversational search and recommendation system for finding health information. With Cobot, users can start a real time conversation about their health concerns. Cobot then connects relevant users together in the conversation also providing contextual recommendations relevant to the conversation. Conventional search engines and content portal...
متن کاملCollaborative Information Access: A Conversational Search Approach
Knowledge and user generated content is proliferating on the web in scientific publications, information portals and online social media. This knowledge explosion has continued to outpace technological innovation in efficient information access technologies. In this paper, we describe the methods and technologies for ‘Conversational Search’ as an innovative solution to facilitate easier informa...
متن کاملSymbiotic-Autonomous Service Robots for User-Requested Tasks in a Multi-Floor Building
Although since the days of the Shakey robot, there have been a rich variety of mobile robots, we realize that there were still no general autonomous, unsupervised mobile robots servicing users in our buildings. In this paper, we contribute the algorithms and results of our successful deployment of a service mobile robot agent, CoBot, in our multi-floor office environment. CoBot accepts requests...
متن کاملCombining Search with Structured Data to Create a More Engaging User Experience in Open Domain Dialogue
The greatest challenges in building sophisticated open-domain conversational agents arise directly from the potential for ongoing mixed-initiative multi-turn dialogues, which do not follow a particular plan or pursue a particular fixed information need. In order to make coherent conversational contributions in this context, a conversational agent must be able to track the types and attributes o...
متن کامل