Jill Freyne - Collecting community wisdom: integrating social search and social navigation

Collecting Community Wisdom: Integrating Social Search & Social Navigation Jill Freyne, Rosta Farzan, Peter Brusilovsky, Barry Smyth & Maurice Coyle University College Dublin & University of Pittsburgh

Motivations
Information Overload Problem
Potential in harnessing user activity patterns to drive social information access tools
Independence of social systems
Eurekster, Del.icio.us, Shadows, I-SPY, MySpace, ebay,…..

Social Browsing
Form of Social Navigation
Visualizes usage paths in a digital environment
KnowlegeSea II Brusilovsky et al. AH 2004
Information access system for class mates providing access to open corpus textbooks
Supports information access through visualization, search, annotation and browsing

KnowlegeSea II
Footprint based support
Monitors students as they browse the collection
Annotation based support
Allows students to leave specific traces on parts of the system

Social Search
Collaborative Web search
Communities of like minded users searching together
I-SPY Smyth et al. UMUAI 2004
Social search engine where communities of searchers can benefit from each others wisdom in terms of search queries and result selections

I-SPY
Monitors users as they search
Post Processing Engine
Re-ranks result lists from underlying search engines to reflect community preferences

ACM DL
ACM DL - a vast collection of citations and full text from ACM journal and newsletter articles and conference proceedings .
2 access strategies
Browsing – through archive lists, tables of contents
Searching – basic and advanced search features

Searching

Browsing

Integrated Social Information Access
“ Community Wisdom” collected by the search component should be used to support navigation in the browsing component and vice versa
Social Search and Social Browsing should be seamlessly integrated at the interface level
Social Support in the form of icons/cues

Components
Search Component
I-SPY Search technology
Re-rank CACM result-list and add search icons
Browsing Component
Knowledge Sea II social navigation technology
Provide footprint and annotation support and add browse icons

Search Component Architecture CWS ENGINE CACM SEARCH ENGINE q q` R M R H R T Hit Matrix q

Browse Component Architecture KNOWLEDGE SEA ENGINE Navigation (Browsing & Annotation) Records

Integration - Search CACM Search Engine Navigation Engine CWS Engine Hit Matrix Navigation (Browsing & Annotation) Records Result Set Re-ranked result With social search icons Re-ranked result With social search and social navigation icons Users start with search

Integration - Browsing Users start with browsing Navigation Engine CWS Engine Search Hit Matrix Navigation (Browsing & Annotation) Records Adding social search icons Adding social navigation icons Back to search Query based navigation

Annotations

Search Support Relevance: 100% Related Queries: Social Navigation Computational Wear Last Selection: 30 mins ago Last Browse: 1 day ago Last Annotation: 1 day ago Browse Popularity 30% Annotations: Relevant to previous work by Dourish and Chalmers in Social Navigation

Browsing Support Queries: personalization business customer adaptive web Browse Popularity : 5% Annotation: …………

Browse – Search Cycle

Evaluation
Subjects: 30 students enrolled in “Introduction to Multimedia” course
Task: Produce a literature review on the topic of “the social web” in 1 hour using the ACM social site
Groups:
Control group - no social support (15 users)
Experimental Group - all social support enabled (15 users)

Review Relevance
54 articles returned
Each examined and assigned relevance score
22.4% relative increase in very relevant papers

Search and Browsing Effort
Users in the control group had to do more work to return (less relevant) results.
1.26 1.56 Ave selected result page 7.0 12.53 # links browsed 2.37 2.33 Query length 9.13 13.2 # queries Exp Ctrl

So?
By adding social support to the CACM DL users found relevant information faster and with less user effort

Subjective Data Analysis
Questionnaire
Designed to capture user opinion on the system
70% of the exp group found social ACM system useful for task
40% of ctrl group reported the same

Searching

Browsing

Conclusions
Different community-based information access technologies can be used in an integrated system to reinforce each other and provide unique added-value to the users
Integration of both technologies was achieved through seamless connection from search to browsing and browsing to search

Future work
Larger user study
Larger, longer term study
Domain divergence
Introduce social support to other domains
Multimedia, other academic domains

Collecting Community Wisdom: Integrating Social Search & Social Navigation Jill Freyne, Rosta Farzan, Peter Brusilovsky, Barry Smyth & Maurice Coyle University College Dublin & University of Pittsburgh

User Feedback
All subjects noticed the social icons
All subjects often/always drawn to icons
Users reported that they found it easier to locate information on the ACM DL site with the icons than without.

Social Search
Monitors users as they search, recording their queries and result selection pairs
Uses past search interaction to re-rank the results of an underlying search engine to reflect the preferences of a community of searchers

Search and Browsing Efforts
58% of users did not look beyond result page 1
88% did not look beyond result page 3

Jill Freyne - Collecting community wisdom: integrating social search and social navigation

by DERIGalway on Mar 08, 2007

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