TY - GEN
T1 - Collaborative personalization on medical search engines using user exploratory survey
AU - Inthiran, Anushia
AU - Alhashmi, Saadat M.
AU - Ahmed, Pervaiz K.
PY - 2010
Y1 - 2010
N2 - The surge of medical search engines in the web space is irrepressible. Medical search engines contain concise, structured and accurate information. As a result, medical search engines do not return cornucopia of search results to users. Search results returned by medical search engines are limited but relevant to a users query. Albeit a newcomer to the web, medical search engines are quickly gaining popularity among web users. To date, vertical search engines have not employed collaborative personalization techniques. Current techniques focus on assisting users with query manipulation. This research study identifies a new way of forming collaborative groups based on the user's information seeking goal, behavior and testing its efficacy using user exploratory survey. It also asses' effectiveness of current query manipulation techniques on medical search engines. By doing so, the practical implication is that this will lead to improved search effectiveness through enhanced personalization.
AB - The surge of medical search engines in the web space is irrepressible. Medical search engines contain concise, structured and accurate information. As a result, medical search engines do not return cornucopia of search results to users. Search results returned by medical search engines are limited but relevant to a users query. Albeit a newcomer to the web, medical search engines are quickly gaining popularity among web users. To date, vertical search engines have not employed collaborative personalization techniques. Current techniques focus on assisting users with query manipulation. This research study identifies a new way of forming collaborative groups based on the user's information seeking goal, behavior and testing its efficacy using user exploratory survey. It also asses' effectiveness of current query manipulation techniques on medical search engines. By doing so, the practical implication is that this will lead to improved search effectiveness through enhanced personalization.
KW - Collaboration
KW - Exploratory research
KW - Medical search engines
KW - Personalization
UR - https://www.scopus.com/pages/publications/78649262407
U2 - 10.1109/FSKD.2010.5569235
DO - 10.1109/FSKD.2010.5569235
M3 - Conference contribution
AN - SCOPUS:78649262407
SN - 9781424459346
T3 - Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
SP - 2786
EP - 2790
BT - Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
PB - IEEE Computer Society
T2 - 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
Y2 - 10 August 2010 through 12 August 2010
ER -