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Social Search
- 1. Social Search www.mzinga.com | December 2010
- 2. Introductions Navdeep Alam Mzinga Director of Data Architecture @yoshinav nav@mzinga.com
- 3. What is Social Search? Search Social intelligence +
- 4. What is Social intelligence? Social gaming dynamics Social behaviors Social graph + +
- 5. Social Search Model Presentation Social graph Social search Social behaviors Social gaming dynamics Federated Search Engine OPAC Full text resources Research documentation Web resources
- 6. Let’s consider an example.
- 7. Social Search Queries Me Content technology conferences Results: Incentive Colleague
- 8. Social Search Queries Me Content technology conferences Results: Susan Susan’s friend Alicia
- 9. 9 What are some of the Benefits? 1 2 3 4
- 10. Thank You! Navdeep Alam Mzinga Director of Data Architecture Twitter: @yoshinav nav@mzinga.com www.mzinga.com 888-MZINGA-8 Twitter: @mzinga
Hinweis der Redaktion
- Social search takes many forms, ranging from simple shared bookmarks or tagging of content with descriptive labels to more sophisticated approaches that combine human intelligence with computer algorithms.[2][3]The search experience takes into account varying sources of metadata, such as collaborative discovery of web pages, tags, social ranking, commenting on bookmarks, news, images, videos, knowledge sharing, podcasts and other web pages. Example forms of user input include social bookmarking or direct interaction with the search results such as promoting or demoting results the user feels are more or less relevant to their query.[4]
- Social search takes many forms, ranging from simple shared bookmarks or tagging of content with descriptive labels to more sophisticated approaches that combine human intelligence with computer algorithms.[2][3]The search experience takes into account varying sources of metadata, such as collaborative discovery of web pages, tags, social ranking, commenting on bookmarks, news, images, videos, knowledge sharing, podcasts and other web pages. Example forms of user input include social bookmarking or direct interaction with the search results such as promoting or demoting results the user feels are more or less relevant to their query.[4]