- Abstract:
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In this paper, we describe experiments into the application of term weighting techniques from text retrieval to support the automatic identification of significant locations from a large location log, which we consider to be important for supporting many location-based social network applications. We identify the fact that the distribution of locations follows a similar shaped distribution to that of terms in a language and in so doing motivate our use of term weighting techniques. Using this...
Expand abstract - Publisher copy:
- 10.1109/CIT.2010.48
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- Pages:
- 20-25
- Publication date:
- 2010
- DOI:
- URN:
-
uuid:2704fd46-7b0a-43a7-80e8-96ce0ee806f8
- Source identifiers:
-
384032
- Local pid:
- pubs:384032
- ISBN:
- 9780769541082
- Copyright date:
- 2010
Conference
Term weighting approaches for mining significant locations from personal location logs
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