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Model driven crowdsourcing of search (CrowdSearch2012 workshop at www2012)
The document discusses a model-driven approach to crowdsourcing search, focusing on improving exploratory search quality through social interactions and expert feedback. It outlines the advantages of using model-driven techniques for developing crowdsearch applications while addressing challenges in task management and user interaction. The proposed methodology includes designing social applications and integrating with social platforms, enabling fast prototyping and multi-platform deployment.
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Model driven crowdsourcing of search (CrowdSearch2012 workshop at www2012)
- 1. A Model-Driven Approachfor Crowdsourcing Search Alessandro Bozzon, Marco Brambilla, Andrea Mauri Politecnico di Milano Contact marco.brambilla@polimi.it marcobrambi CrowdSearch 2012 workshop @ World Wide Web Conference (WWW2012), Lyon, April 17th, 2012
- 2. Outline • Rationale • (Meta)Models •Application • Demo • Outlook
- 3. SW Models +Social + Search = MD CrowdSearch
- 4. Rationale: increasing qualityin exploratory search • From exploratory search to friends and experts feedback • Emphasis on social relations more than anonymous crowds Initial query Exploration Exploratory step Human Search Search System System Exploration step System API Social API Database / Crowd / IR index Community
- 5.
- 6. Deployment: Advantages ofMDD • Multiple social platform deployment Generated query template Embedded External Standalone application application application API Social/ Crowd platform Native Embedding behaviours Community / Crowd
- 7. Search task managementproblems Task splitting: the collection is too complex relative to the cognitive capabilities of users. Task structuring: the task is too complex or too critical to be executed in one shot. Task routing: a task can be distributed according to the values of some attribute of the collection. User interaction: search tasks may imply complex UI design • Easy to address through a model-driven approach
- 8. Efficient development ofCrowdSearch apps Apply model-driven techniques to Social and Search: MacroTask Description (BPMN) M2M Transformation MicroTask Description (BPMN) M2M Transformation User Interaction Model (WebML+ER) M2T Transformations Stand-alone Application embedded application in social network
- 9. Model extensions forSocial BPM Process and applications models are extended to (task- or incorporate social issues: login, post, tag, rate, share, ... Platform- specific) Social Process Model Social Application Model Comment Vote It is used to define: It is used to define: •Exchange of user profiles from/to SN •Social actors (e.g., Community Pools) •Social data (e.g., shared content) •Social Activities (twittering, voting, following..) •Interface and components for social tasks (e.g., •Social events twittering, voting, tagging, following) Based on BPMN social design patterns Based on WebML social components
- 10. The content (meta)model Field 1 N Schema CrowdObject N 1 Relation N 1 Outgoing From type: String name: String N 1 type: String 1 1 name: String N Incoming To idField N 1 1 FieldInstance User value: String Input Output 1 N N 1 user: String Answer password: String N 1 N email: String N 1 Query • Like N • Add question: String Responder Asker • Comment type: String 1 N • Modify open: boolean • …
- 11. WebML models –question definition UI model • user interaction + integration with social platform Model for defining a question:
- 12. WebML models –Response UI model
- 13. Rendering of theapplication (summary)
- 14. Model Driven Engineeringof SocialSearch applications • WebRatio (www.webratio.com), MDD tool that manages app development in three steps: Design Customize Generate the Model the Rules the Application • MDD Tools enable: fast prototyping, multi-platform deployment, model- driven debugging, and early assessment of alternative strategies
- 15. Social experiments andquantitative evaluations • See you on Friday, for the full paper presentation: Answering Search Queries with CrowdSearcher Alessandro Bozzon, Marco Brambilla, Stefano Ceri
- 16. References Thanks! • www.searchcomputing.org •www.bpm4people.org • www.cubrikproject.eu Questions? •www.webratio.com Contact: Marco Brambilla marco.brambilla@polimi.it marcobrambi