Location, location, location: A transaction comparison of catalog searches originating from the library homepage and Aleph
1. Location, location, location: A transaction comparison of catalog searches originating from the library homepage and Aleph Jimmy Ghaphery, Thomas McNulty, Susan Teague-Rector VCU Libraries
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7. Our Question Is there a difference in user search behavior when searching the library catalog from an external search box on the library homepage as opposed to searches in the native interface?
11. Web Results % of searches from the Homepage to the Catalog
12. Web Results for Sample Timeframe % of searches by location % of searches by search type
13. Catalog Results 3,7824 Total 682 Call Number 2,949 Author (browse) 7,670 Title (browse) 1,263 Subject (browse) 481 Author 609 Subject 1,677 Title 22,493 Keyword Search Type
14. Catalog vs. Web Results 41,217 Total 1300 Website Title begins with 9754 Website Keyword 7670 Catalog Title begins with 22,493 Catalog Keyword Search type
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18. A Smaller Sample Search Terms from the Web to the catalog for 2/18/2009 Created with Wordle: http://www.wordle.net/create
21. Results from February 18, 2009 Homepage Of the searches from the homepage (679), 23% returned 0 results in the catalog The average number of results from a query was 734 records The largest number of results from a query was 74,459 for the search term ‘Science’ Native Interface Of the searches in the native interface (993), 22% returned 0 results in the catalog The average number of results was 602 records The largest number of results for query was 85,422 for the search term ‘html’
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23. Zero Results Search Terms from from the Web to the catalog for 2/18/2009 with 0 hits in the catalog Created with Wordle: http://www.wordle.net/create
24. Zero Results *100% Boolean operators were ‘and’ operands Observations Phrases were used quite often in lieu of using Boolean searching Many of the search terms returned results in WorldCat, Google or Amazon. Specific editions of books were requested: For example: “artforms eight edition,” “Official Guide for GMAT« Review 11th Edition,” “essentials of understanding psychology 7e” n/a 5.77%* 25.00% 156 Originating on the Web and sent to Aleph 5.61% 8.41%* 35.05 % 214 Originating in Aleph Punctuation Boolean operators Misspellings Total
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Notas del editor
For other indexes (title in this example): set head off; select count(*) from z69 where ( z69_time_stamp like '20090216%' OR z69_time_stamp like '20090217%' OR z69_time_stamp like '20090218%' OR z69_time_stamp like '20090219%' OR z69_time_stamp like '2009022%' OR z69_time_stamp like '20090301%') and z69_search_base like 'VCU01PUB' and Z69_EVENT_TYPE like '21' and Z69_SEARCH_QUERY like 'Title%'; For zero hit counts: set head off; select count(*) from z69 where ( z69_time_stamp like '20090216%' OR z69_time_stamp like '20090217%' OR z69_time_stamp like '20090218%' OR z69_time_stamp like '20090219%' OR z69_time_stamp like '2009022%' OR z69_time_stamp like '20090301%') and z69_search_base like 'VCU01PUB' and Z69_NO_HITS like '0'; In all examples make sure to replace VCU01PUB with your library ID
For other indexes (title in this example): set head off; select count(*) from z69 where ( z69_time_stamp like '20090216%' OR z69_time_stamp like '20090217%' OR z69_time_stamp like '20090218%' OR z69_time_stamp like '20090219%' OR z69_time_stamp like '2009022%' OR z69_time_stamp like '20090301%') and z69_search_base like 'VCU01PUB' and Z69_EVENT_TYPE like '21' and Z69_SEARCH_QUERY like 'Title%'; For zero hit counts: set head off; select count(*) from z69 where ( z69_time_stamp like '20090216%' OR z69_time_stamp like '20090217%' OR z69_time_stamp like '20090218%' OR z69_time_stamp like '20090219%' OR z69_time_stamp like '2009022%' OR z69_time_stamp like '20090301%') and z69_search_base like 'VCU01PUB' and Z69_NO_HITS like '0'; In all examples make sure to replace VCU01PUB with your library ID
1. Queried Aleph & Web data limited to 2/18/2009 and imported into an Access database 2. Cleaned up the Aleph data – removed ‘All indexed fields=’ from the beginning of the search field Removed Duplicates Trimmed the Web search terms Analyzed the 2 sets of data
Zero hits for those terms that originated from the homepage Criteria for misspellings No spaces between names Misspelling using Google and worldcat
Website is a significant portal to the catalog Location doesn’t seem to matter Needs to function more like a search engine [ spellcheck, error recovery, federated searching, recommenders, facets]
Text analysis Search terms and knowledge base Ability to track a complete user’s search session Adding spell check to the catalog Investigating nextgen catalog interfaces