Transcript TV Scout - Lowering the entry barrier

TV Scout
Lowering the entry barrier to
personalized TV program recommendation
Patrick Baudisch &
Lars Brueckner
AH 2002
June 1th 2002
Contents
• Motivation
• TV Scout user interface
– Retrieval part…
– …leading to the filtering part
• Results of usage data analysis
• Conclusions
Motivation: Information overload
• Too many research papers, books, movies, web
pages… even TV programs
• Germany: printed program guides list 10.000
programs per two weeks
• Content of interest has not increased proportionally
 planning TV has become a challenge*
• Goal: Reduce the set of programs that users have to
look at to find relevant programs Allow users to
watch TV more selectively
The initial concept…
• We wanted to offer:
personalized TV program listings
“at a single mouse click”
• Resulting user interaction:
“Sure, we’ll tell you what’s on tonight, but before we
do that, please answer these 30 questions…”
• Guess how users liked that…
We did some field work…
• Users’ expectations are inspired by printed TV
program guides
–
–
–
–
Step 1: Find the right listing
Step 2: Sift through the listing
Step 3: Remember or mark-up programs to watch
Step 4: Watch
•  User interface design challenge:
– Pick people up where they are (printed TV program guides)
– …
– …and guide them to personalized listings at a mouse click
Step 1: Select a query
Exact match
Best match
Step 2+3: Read & retain program descript.
retention
menus
program
description table
program
description
list
Step 4: Print it out & watch TV
retention
menus
program
description table
program
description
list
laundry list
video labels
Emulating a printed guide
Printed program guide
TV Scout
Step 1: Pick the right listing
Step 1: Pick the right query
Step 2: Sift through listing
Step 2: Sift through listing
Step 3: Mark-up programs
Step 3: Retain programs
Step 3b: Print it out
Step 4: Watch
Step 4: Watch
But then: suggestions and bookmarks
Personalized schedules at a mouse click
Not that users have to, but…
Summary of usage
T1
system provides
T2
S1
start
U1
user writes
system suggests
S2
queries
U2
user defines
T
system compiles
bookmarked
queries
S3
T3
system learns
one-click
TV program
U3
user updates
TV Scout usage data
• TV Scout user interface concept
= delayed disclosure of the filtering functionality
• Does this actually reduce the entry barrier to
personalized filtering?
• => Informal analysis of log file data from actual web
usage
Procedure
• 18 months of log file data, extracted from the web
server log files and the system’s database
• Gathered data
– 10,676 registered users
– In total, users had executed 48,956 queries
– 53% of all queries (25,736 queries) were specific queries
different from the default query.
• Bias: the suggestion feature became available later
Goals
• Goal 1: Repeated usage would indicate that users
had taken the entry hurdle
• Goal 2: Learn more about the users’ demand for the
offered filtering functionality: How many would use
bookmarking and/or query profiles?
• Goal 3: How useful users would find the query profile.
Query profile users, would they use or abandon it?
Results & conclusions
• Repeated log-ins:
9,190 of 10,676 users logged in repeatedly (= 86%)
• Very high percentage for a web-based system
• => Delayed disclosure of filtering functionality is a
successful approach to keeping the entry barrier for
first-time users low
Results & conclusions
• Bookmarks & Query profiles
–
–
–
–
1770 users had bookmarked 4383 queries (= 17%)
270 users executed query profile (= 15% of bookmark users)
They executed their query profiles 5851 times (21 times per user).
Once they used the profile they liked it
• Only 17% used filtering functionality, isn’t that low?
– Survey: only 12% of the users of printed TV guides planned TV
schedule for a week or longer
– => The 83% non-bookmark users may have found retrieval to be
the appropriate support for their information seeking strategy
• Future work: An online survey as well as an experimental study
should help to verify this interpretation.
Thanks to: Dieter Böcker, Joe Konstan, Marcus
Frühwein, Michael Brückner, Gerrit Voss, Andreas
Brügelmann, Claudia Perlich, Tom Stölting, Diane
Kelly, and TV TODAY
Further reading & demo:
http://www.patrickbaudisch.com
END
• If time left
–Explain system architecture
–Demo paintable interfaces
program descriptions
feedback
TV Scout
Architecture
Date
Time Profile
Time Dialog
ChannelProfile ChannelDialog
Exact match filtering
hoc
QSA profile
Video
labels
Laundry
list
User
tips
Editors’
tips
ACF
Genres
Estim.
Pop.
Text
search
QSA filtering
Retention tools
Query subsystems
Program description
database
Content provider
Movie database
• Slides to bring up during
questions
QSA profile
editor (experts)
viewing time
profile editor
TV Scout UI
channel
profile
editor
QSA
profile
editor
suggest queries
QSA
menu
query
menus
text
search
TV Scout interface with starting page
retention
menus
program
description table
program
description
list
laundry list
video labels
Structure of TV Scout user profiles
q1
e.g. news,
sports,
Comedy
shows
…
A
qn
user
QSA
profile
profile
How does
user like news
compared to
sports…?
TV Scout: retrieval usage summary
TV listing
& table

retention tools
Cooperation with German TV TODAY
17,000 registered users
Further reading
•
P. Baudisch. Dynamic Information Filtering. Ph.D. Thesis. GMD Research
Series 2001, No. 16. GMD Forschungszentrum Informationstechnik GmbH,
Sankt Augustin. ISSN 1435-2699, ISBN 3-88457-399-3.
•
P. Baudisch. Recommending TV Programs on the Web: how far can we get
at zero user effort? In Recommender Systems, Papers from the 1998
Workshop, Technical Report WS-98-08, pages 16-18, Madison, WI. Menlo
Park, CA: AAAI Press, 1998.
•
P. Baudisch. The Profile Editor: designing a direct manipulative tool for
assembling profiles. In Proceedings of Fifth DELOS Workshop on Filtering
and Collaborative Filtering, pages 11-17, Budapest, November 1997.
ERCIM Report ERCIM-98-W001.
•
P. Baudisch. Using a painting metaphor to rate large numbers of objects. In
Ergonomics and User Interfaces, Proceeding of the HCI '99 Conference,
pages 266-270, Munich, Germany, August 1999. Mahwah: NJ: Erlbaum,
1999.