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Everything about Collaborative search engine
Collaborative search engines (CSE) are web search engines and enterprise searches within company intranets that let users combine their efforts in information retrieval (IR) activities, share information resources collaboratively using knowledge tags, and allow experts to guide less experienced people through their searches. Collaboration partners do so by providing query terms, collective tagging, adding comments or opinions, rating search results, and links clicked of former (successful) IR activities to users having the same or a related information need. Wikipedia →
đź§ Start here: a 6-step reading path
- Read the overview: Collaborative search engineA 5-minute orientation
- Pick up a classic book: Recommendation EnginesThe most-reprinted book on the subject
- Read the landmark paper: Collaborative Search Engine for Enhancing Personalized User Search Based on Domain KnowledgeCited 8 times
- Go sideways: Collaborative information seekingA closely related topic
- Go sideways: Implicit data collectionA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
📚 Books worth reading
Recommendation EnginesMichael Schrage · 2020
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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- Personal information management Personal information management (PIM) is the study and implementation of the activities that people perform to acquire or create, store, organize, maintain…
- Folksonomy Folksonomy (also known as collaborative tagging, social classification, social indexing, social tagging) is a classification system in which end users…
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- Personalized search Personalized search is a web search tailored specifically to an individual's interests by incorporating information about the individual beyond the specific…
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