Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively

The wealth of information accessible on the Internet has grown exponentially since its advent. This mass of content must be systemically sifted to glean pertinent data, and the utilization of the collective intelligence of other users, or social information retrieval, is an innovative, emerging technique.

Social Information Retrieval Systems: Emerging Technologies & Applications for Searching the Web Effectively provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this Premier Reference Source will make an indispensable addition to any library collection.

The many academic areas covered in this publication include, but are not limited to:

• A hybrid clustering approach
• Adaptive peer to peer social network
• Collaborative classification and organization
• Collaborative querying
• Cues and specialty search
• Distributed content based web search
• Ethics of social information retrieval
• Group-oriented organization
• Hybrid recommendation systems
• Metadata for social recommendations
• Multi-agent tourism system (MATS)
• Networked environments
• Personalized information retrieval
• Publication and citation analysis
• Reference based search engine rankings
• Relevant intra-actions
• Semantic-based learning environment
• Social context of knowledge
• Social information seeking in digital libraries
• Social information seeking models
• Social Issues
• Social network models
• Social networks and information retrieval
• Tools for information retrieval
• Use centered descriptions