TY - GEN
T1 - Linking external and internal search
T2 - 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014
AU - Ortiz-Cordova, Adan
AU - Jansen, Bernard J.
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - In this research, we investigate the relationship between external search on a major search engine and the subsequent internal search on an individual web site. Insights in the relationship can be a competitive advantage for websites. We use 295, 271 searching sessions of an online Spanish entertainment business collected over a five month period. We develop a classification scheme for external and internal search queries using the referral query as the starting point. Using an n-gram approach, we identify query patterns for 295, 271 searching episodes. We aggregate and identify six searching patterns. The three major searching strategies are Explorers (47%, a broad query for external search and then multiple broad queries during internal search), Navigators (16%, a navigational query for external search and then specific queries during internal search), and Acquirers (15%, transaction queries for both external and internal search). The remaining three patterns are Shifters (12%), Persisters (7%), and Orienteers (3%). Identification of searching patterns and related content can be a competitive advantage for websites dependent on providing relevant, fresh, and locatable information.
AB - In this research, we investigate the relationship between external search on a major search engine and the subsequent internal search on an individual web site. Insights in the relationship can be a competitive advantage for websites. We use 295, 271 searching sessions of an online Spanish entertainment business collected over a five month period. We develop a classification scheme for external and internal search queries using the referral query as the starting point. Using an n-gram approach, we identify query patterns for 295, 271 searching episodes. We aggregate and identify six searching patterns. The three major searching strategies are Explorers (47%, a broad query for external search and then multiple broad queries during internal search), Navigators (16%, a navigational query for external search and then specific queries during internal search), and Acquirers (15%, transaction queries for both external and internal search). The remaining three patterns are Shifters (12%), Persisters (7%), and Orienteers (3%). Identification of searching patterns and related content can be a competitive advantage for websites dependent on providing relevant, fresh, and locatable information.
UR - http://www.scopus.com/inward/record.url?scp=84900560678&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84900560678&partnerID=8YFLogxK
U2 - 10.1145/2559206.2581199
DO - 10.1145/2559206.2581199
M3 - Conference contribution
AN - SCOPUS:84900560678
SN - 9781450324748
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1345
EP - 1350
BT - CHI EA 2014
PB - Association for Computing Machinery
Y2 - 26 April 2014 through 1 May 2014
ER -