Name
Abstract | ||
|---|---|---|
Nowadays huge travel records are accumulated in SNS. It has various user experiences however there exists few study to utilize them to plan tours. We proposed a method to discover spots. We also implemented it as a system. Our system collects geocoded tweets from Twitter and store them in a database automatically. When we input a keyword to the system, it gathers tweet about the keyword from the database, discovers spots by clustering geocode. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ISCE.2017.8355539 | 2017 IEEE International Symposium on Consumer Electronics (ISCE) |
Keywords | Field | DocType |
plan tours,geocoded tweets,Twitter,keyword,tour miner,SNS,user experiences,travel records,spot discovery,geocode clustering | Geocoding,Information retrieval,Computer science,Computer network,Cluster analysis | Conference |
ISSN | ISBN | Citations |
2158-3994 | 978-1-5386-2190-5 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazuya Nakahori | 1 | 0 | 0.68 |
| Yamaguchi, S. | 2 | 12 | 7.14 |