Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human Computation

Edith Law, Haoqi Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

Behind every search query is a high-level mission that the user wants to accomplish. While current search engines can often provide relevant information in response to well-specified queries, they place the heavy burden of making a plan for achieving a mission on the user. We take the alternative approach of tackling users' high-level missions directly by introducing a human computation system that generates simple plans, by decomposing a mission into goals and retrieving search results tailored to each goal. Results show that our system is able to provide users with diverse, actionable search results and useful roadmaps for accomplishing their missions.

Original languageEnglish (US)
Title of host publicationProceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011
PublisherAAAI Press
Pages1210-1215
Number of pages6
ISBN (Electronic)9781577355083
StatePublished - Aug 11 2011
Event25th AAAI Conference on Artificial Intelligence, AAAI 2011 - San Francisco, United States
Duration: Aug 7 2011Aug 11 2011

Publication series

NameProceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011

Conference

Conference25th AAAI Conference on Artificial Intelligence, AAAI 2011
Country/TerritoryUnited States
CitySan Francisco
Period8/7/118/11/11

ASJC Scopus subject areas

  • Artificial Intelligence

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