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tagging, communities, vocabulary, evolution

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John Travolta, need to buy, tarantino (2), tarantino is god (3) ... hit men (2), John Travolta (2), murder, Quentin Tarantino (4), Samuel L., Samuel L. Jackson, ... – PowerPoint PPT presentation

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Title: tagging, communities, vocabulary, evolution


1
tagging, communities,vocabulary, evolution
  • Shilad Sen
  • S. Lam, D. Cosley, A. Rashid, D. Frankowski,
    F. Harper, J. Osterhouse, J. Riedl
  • GroupLens Research
  • University of Minnesota Dept. of Computer Science

2
Tagging Background
  • A tag is a free-form word or phrase used to
    describe an object
  • Although users may tag for selfish reasons, other
    people benefit from their tags
  • Tag-based information can be more flexible,
    intuitive and scalable than traditional ontologies

3
Example Vocabulary 1
FACTUAL
4
Example Vocabulary 2
SUBJECTIVE
5
Example Vocabulary 3
PERSONAL
6
Research Questions
  • How do tagging vocabularies evolve?
  • Can we control vocabulary evolution?
  • Are specific types of vocabularies more or less
    valuable to the community?

7
MovieLens
  • movielens.org
  • Started 1995
  • Users rate movies ½ to 5 stars
  • Users get recommendations

8
MovieLens Tagging Features
Tagging Intro Page
description
call-to-tag
9
MovieLens Tagging Features
Movie Lists
10
MovieLens Tagging Features
Adding Tags
11
Experimental Data
  • 29 days
  • 3366 users
  • 18.8 of users tagged at least one movie
  • 3,623 unique tag phrases.
  • Resulting in 11,433 tag applications
  • tag application

12
Tag Classes
  • Factual
  • Top action, drama, comedy, disney, teen, james
    bond
  • 64 of tag applications
  • Subjective
  • Top classic, chick flick, funny, overrated,
    girlie movie
  • 22 of tag applications
  • Personal
  • Top bibliothek, in netflix queue, settled, dvd,
    my dvds
  • 11 of tag applications

13
Research Questions
  • How do tagging vocabularies evolve?
  • Can we control vocabulary evolution?
  • Are specific types of vocabularies more or less
    valuable to the community?

14
How do Vocabularies Evolve?
  • We consider two factors in tagging behavior
  • Investment and habit People tag similarly to
    how they have tagged in the past.
  • Community Influence People tag similarly to how
    they see other people tag.
  • (more complex model in paper)

15
Tag Class Similarities
16
Research Questions
  • How do tagging vocabularies evolve?
  • Can we control vocabulary evolution?
  • Are specific types of vocabularies more or less
    valuable to the community?

17
Can We Affect Vocabulary?
  • Four experimental groups
  • Each groups set of tags were maintained
    separately
  • Experimental groups use different tag selection
    algorithms to show community tags for a movie.

18
Unshared Selection Algorithm
Tags for Pulp Fiction in the unshared group
applied tags
classic film
interesting new way of film
bibliothek
NO community tags displayed
19
Shared Selection Algorithm
Tags for Pulp Fiction in the shared group
buddy movie, Bruce Willis, classic (2), great
movie, John Travolta, need to buy, tarantino (2),
tarantino is god (3), this is the weirdest movie
I ever liked
applied tags
displayed community tags
buddy movie, tarantino, this is the weirdest
movie I ever liked
20
Shared-Pop Selection Algorithm
Tags for Pulp Fiction in the shared-pop group
90s, crime (2), dialogue, drama (2),
hilarity, hit men (2), John Travolta (2),
murder, Quentin Tarantino (4), Samuel L., Samuel
L. Jackson, ultra-violence, USA
applied tags
displayed community tags
Quentin Tarantino (4), drama (2), hit men (2)
21
Shared-Rec Selection Algorithm
Tags for Pulp Fiction in the shared-rec group
Pulp Fiction
Fight Club
Reservoir Dogs
The Godfather
action, comedy, dvd (2), dvd-r, great, mob,
off-beat, quirky (2), surreal, tarantino (7),
theater, vhs
surreal


surreal
tarantino
dvd
applied tags
displayed community tags
tarantino, dvd, surreal
22
Vocabularies Evolve Differently!
Relative tag class proportions over time
unshared
shared
shared-rec
shared-pop
23
Research Questions
  • How do tagging vocabularies evolve?
  • Can we control vocabulary evolution?
  • Are specific types of vocabularies more or less
    valuable to the community?

24
Vocabulary Value
  • Post-experiment user survey (365 users)
  • Asked general questions about tagging
  • I create my own tags to have fun.
    (agree/disagree)
  • Overall, I think the tagging features help me
    express my opinions.
  • etc
  • Asked users about specific applications of tags
    to movies
  • Overall I would like to see the tag phone booth
    for the The Matrix.
  • I think the tag ultra-violence helps me decide
    whether or not to watch Pulp Fiction.
  • etc

25
Value of Factual Tags
  • Regarding the tag anime for Spirited Away
  • This is a great tag, because it has no bias
    associated with it, it merely gives more
    information about the genre of the movie. Great
    tag..
  • Taggers agreed that factual tags are
  • Useful overall (56 agreement)
  • Useful for learning about movies (60)
  • Useful for finding movies (59)

26
Value of Subjective Tags
  • Regarding the tag surreal for Eternal Sunshine
    of the Spotless Mind
  • surreal is appropriate.
  • and from another user
  • somebody saying a movie is "funny" or "surreal"
    doesn't tell me anything - because I don't know
    whether their tastes are similar to mine.
  • 44 agreement subjective tags were useful, but
  • 87 agreement users own subjective tags helped
    express their opinions.

27
Value of Personal Tags
  • Regarding the tag My DVDs for Dawn of the
    Dead
  • The person who created this tag was either
    clueless that the tag would be shared or didn't
    care. Either way, how does it help a single other
    person on the planet to know that this film is in
    his DVD collection?
  • 17 agreement that personal tags were useful,
    but..
  • 87 agreement that personal tags helpful in
    organizing for the taggers themselves

28
Conclusion
  • Post experiment usage
  • 33,238 tag applications by 1759 users
  • Recap
  • Users tag similarly to
  • How they have tagged in the past
  • The community tags they have seen
  • Vocabulary formation is a volatile process
  • Different tag classes have very different
    utilities

29
Open Questions / Future Work
  • Are the tag-class differences between
    experimental groups deterministic?
  • Would more complex tagging models better capture
    tagging behavior?
  • How can a system distinguish between good tags
    and bad tags?

30
Thank You!
  • John Riedl
  • GroupLens research
  • National Science Foundation
  • (IIS 03-24851 and IIS 05-34420)
  • MovieLens users!
  • contact me at shilad_at_gmail.com
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