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By Fradkov A. L.

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Ni is the number of times wi appears in hj and k is the total number of separate terms in hj. TF-IHF value ranges from 0 to log|HT| and high value would be reached when wi frequently appears in the concatenated contents of tweets for hashtag htj and rarely cooccur with other hashtags. However, TF-IHF does not consider about the number of tweets containing both term wi and hashtag htj, which might cause a bias towards terms appearing many times in a few tweets with the hashtag. These terms might get higher TF-IHF scores compared to the others which appear in more tweets with the hashtag but only occur once in each tweet.

Of the 21st ACM Conf. on Hypertext and Hypermedia, Toronto, Ontario, Canada (2010) 10. : What Do People Want in Microblogs? Measuring Interestingness of Hashtags in Twitter. In: Proc. of the 2010 IEEE Int. Conf. on Data Mining, ICDM 2010, pp. 1121–1126 (2010) 11. : Mining Tweets for Tag Recommendation on Social Media. In: Proc. of the 3rd Int. Workshop on Search and Mining User-Generated Contents, SMUC 2011, Glasgow, Scotland, UK (2011) 12. : Hashtag Retrieval in a Microblogging Environment. In: Proc.

Reusable Awareness Widgets for Collaborative Web Applications 13 Application Model not Represented in the DOM: The defined GAI implementation and in particular the information capturing components rely on standardized DOM events that are fired if the DOM is manipulated. If this notification mechanism is somehow bypassed and not actively producing events anymore, the GAI information tracking cannot operate properly and eventually, registered awareness widgets are affected since required awareness information is not supplied.

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