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  1. Proceedings of the 21st Australasian Document Computing Symposium (ADCS '16)
  2. Interactive Trip Planning Using Activity Trajectories
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In Vacuo and In Situ Evaluation of SIMD Codecs
A Position-Based Method for the Extraction of Financial Information in PDF Documents
Dynamic Cutoff Prediction in Multi-Stage Retrieval Systems
Boosting Titles does not Generally Improve Retrieval Effectiveness
Estimating Domain-Specific User Expertise for Answer Retrieval in Community Question-Answering Platforms
The Influence of Topic Difficulty, Relevance Level, and Document Ordering on Relevance Judging
Effective User Relevance Feedback for Image Retrieval with Image Signatures
Occupational Representativeness in Twitter
Judgment Pool Effects Caused by Query Variations
Query-Biased Summaries for Tabular Data
Uncertainty in Rank-Biased Precision
Interactive Trip Planning Using Activity Trajectories
Using Semantic and Context Features for Answer Summary Extraction
Evaluation of Retrieval Algorithms for Expertise Search

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Interactive Trip Planning Using Activity Trajectories

Content Provider ACM Digital Library
Author Wang, Sheng Sanderson, Mark Bao, Zhifeng Yadamjav, Munkh-Erdene Culpepper, J. Shane Sellis, Timos
Abstract We present an interactive trip planning system called @FINDER which uses an exemplar trajectory query to find the most related top-k spatial-textual trajectories. @FINDER is implemented to support various degrees of user information needs for trip planning. For users with zero knowledge about places to travel, @FINDER provides a heatmap of popular points of interest (POIs) as well as popular activities from a trajectory database. The system helps users quickly explore the places, and helps formulate an exemplar trajectory query, which specifies preferred places to go and activities of interest. Then @FINDER provides efficient query processing of the top-k related spatial-textual trajectories using a new approach to spatial-textual trajectory indexing recently developed at RMIT University. For each of the top-k results found in the form of a set of POIs and activities, @FINDER further computes the optimal route (in term of the travel time) covering all of the POIs, and returns an album to the user. Lastly, users can further interact with @FINDER by adding or deleting POIs/activities in the original exemplar query, and the system will update the results in a timely manner.
Starting Page 77
Ending Page 80
Page Count 4
File Format PDF
ISBN 9781450348652
DOI 10.1145/3015022.3015030
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-12-05
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Interactive exploration Trip planning Activity trajectory search
Content Type Text
Resource Type Article
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