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No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008
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No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Jan 12, 2016

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Page 1: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

No Title, yet

Hyunwoo KimSNU IDB Lab.

September 11, 2008

Page 2: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Contents

Introduction Motivation Related Work Our Approach Evaluation Conclusion

2

Page 3: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Introduction [/]

3

Tagging Action of adding keywords to objects

Tags Meaningful descriptors of the objects To organize and index contents Useful with multimedia objects

– little or no textual context

Page 4: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Motivation [/]

4

Tropical_Blue_Ocean.jpg

Page 5: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Introduction [/]

5

Image search and video search We can only use the title of multimedia to

find Tags will help the search result It will be helpful not only multimedia

contents also text based contents

Page 6: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Motivation [/]

6

Tropical_Blue_Ocean.jpg

Tags: Blue Ocean, Hawaii,

Waikiki

Page 7: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Motivation [/]

7

Flickr

Tistory

Page 8: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Motivation [/]

8

Delicious

Page 9: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Related Work [/]

9

Flickr Tag Recommendation based on Collective Knowledge, WWW2008 How we can assist user in the tagging phase Recommending tags that can be added to the

photo Tag co-occurrence Tag aggregation and ranking

Page 10: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Related Work [/]

10

Page 11: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Related Work [/]

11

Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics, ICWSM 2007 Tag recommendation in social bookmarking

sites Users add too few tags Content-based method Tagging-based method

Page 12: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Related Work [/]

12

The similarity between URL1 and URL2 is defined by Word frequency vector of the URL contents in

content-based method Common tag frequency vector of the URL in

tagging-based method

The weight of a tag is sum of similarities of the URL that contains the tag

Page 13: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Related Work [/]

13

Information Retrieval in Folksonomies: Search and Ranking, ESWC 2006 FolkRank Similar to PageRank of Google FolkRank make a set of related users and

resources for a given tag

Page 14: No Title, yet Hyunwoo Kim SNU IDB Lab. September 11, 2008.

Related Work [/]

14

Tag Recommendations in Folksonomies, PKDD2007 A proposal of Community-based Folksonomy with

RDF Metadata, ISWC 2005 A Collaborative Tagging System for Personalized

Recommendation in B2C Electronic Commerce Tag-aware Recommender Systems by Fusion of

Collaborative Filtering Algorithms, SAC2008 Towards the Semantic Web: Collaborative Tag

Suggestions