Experian Hitwise Travel Data - September 2012

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The document discusses travel trends in Australia, Hong Kong, and Singapore. It covers agency, destination and accommodation, and commercial airline trends in each location. Copyright information is provided at the beginning and end.

Technology

Web in Travel

2012 Sep

© 2010 Experian Limited. All rights reserved. Experian and the marks used herein are service marks or registered trademarks of Experian Limited.
Other product and company names mentioned herein may be the trademarks of their respective owners. No part of this copyrighted work
may be reproduced, modified, or distributed in any form or manner without the prior written permission of Experian Limited.

Australia

  Agency

© 2010 Experian Limited. All rights reserved.
2

Australia

  Destination and Accommodation

© 2010 Experian Limited. All rights reserved.
3

Australia

  Commercial Airlines

© 2010 Experian Limited. All rights reserved.
4

Hong Kong

  Agency

© 2010 Experian Limited. All rights reserved.
5

Hong Kong

  Destination and Accommodation

© 2010 Experian Limited. All rights reserved.
6

Hong Kong

  Commercial Airlines

© 2010 Experian Limited. All rights reserved.
7

Singapore

  Agency

© 2010 Experian Limited. All rights reserved.
8

Singapore

  Destination and Accommodation

© 2010 Experian Limited. All rights reserved.
9

Singapore

  Commercial Airlines

© 2010 Experian Limited. All rights reserved.
10

© 2010 Experian Limited. All rights reserved.
© 2010 Experian Limited. All rights reserved.
11

Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”. All of this illustrated with link prediction over knowledge graphs, but the argument is general.

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