Post on 18-Dec-2014
description
Images, Reviews, Tags and Recommendations: Do Enhanced Contents and User Contributed Contents Improve Access to Library Resources in an Academic Library?
Ya WangSan Francisco State University
Electronic Resources & Libraries (ER&L) ConferenceAustin, Texas
February 1, 2010
Table of ContentsIntroduction
Syndetic Solutions
Images, Reviews, Summaries & TOCs
LibraryThing
Tags & Recommendations
bX Recommender
Article Recommendation Service
Conclusion
Background• San Francisco State University
– One of 23 California State University campuses– Mostly 4 year – FTE 25,000 – Collection facts: Over a million items in the
catalog– Library Building Project
• Online Catalog – Innovative Interfaces Inc. (III)– Syndetic Solutions– LibraryThing
• OpenURL linking server – SFX – bX Recommender Service
Syndetic Solutions offers cover images, summaries, tables of contents, excerpts and reviews to our catalog.
Syndetic in the OPACLook & Feel
Syndetic in the OPACLook & Feel
Syndetic detailed information
Syndetic cover images in the library homepage
Syndetic usage data
Syndetic usage discussionImages - well usedReviews - variedSummaries, TOCs – impressiveSample Chapter – not a great
number
Website that lets ordinary users create quick and easy online public access catalogs for their book collections
Tag the books, not Subject Headings
RecommendationsFolksonomies, web 2.0
LibraryThing
LibraryThing tags & recommendations in the OPAC
LibraryThing tag browse
LibraryThing tag click & search results
LibrayThing usage data
March 11, 2008 - January 25, 2010
Feature useTag browse 994 Tags clicked on and tag searches
done 1739Recommendations links followed
2383
OPAC subject search sample data
For 10 days, Subject Searches Retrieving Records - 559 out of 741.Users most likely click Subject links to generate this result.
LibrayThing usage discussion
There is a fair bit of activity Tags usage are not comparable
with subject headings usageRecommends links get some use.
They might generate more usage because recommendations are hidden in our OPAC.
bX offers potentially related article suggestions based on aggregate usage data collected from participating institutions that already use Ex Libris's SFX link resolver
Web 2.0-type, Amazon similar service
Plug into scholarly search results
bX example
bX statistics as a target serviceNumber of clickthroughs per target
service
BX_RECOMMENDER_SERVICE getRecommendation
ILL statistics as a target serviceNumber of clickthroughs per target
service
DOCDEL_ILLIAD getDocumentDelivery
bX usage data analysisWidely usedNeed more solid data to see
whether it affects our ILL service
Conclusions:
Overall well used, different parts have widely varying usage
We need to refine our package
Tags - Not as popular as we thought Recommendations – adds a certain quality to the catalog
Highly used, popular Cost effective
Questions?