Dissertation Information for Douglas W. OardNAME:
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SCHOOL: ADVISORS: COMMITTEE MEMBERS: MPACT Status: Incomplete - Not_Inspected Title: Adaptive vector space text filtering for monolingual and cross-language application Abstract: Adaptive Multilingual Text Filtering is an innovative approach for enhancing the usability of the global information infrastructure. With the recent explosive growth of intranets and the Internet, mediated access to networked information is becoming an increasingly important problem. Much of this information is in (or can be converted to) text form, and an increasing amount is expressed in languages other than English. Text filtering is an information access process in which dynamic information sources are matched against relatively stable information needs; adaptive text filtering systems seek to assist users by automatically improving their profile of the users' information needs over time; and adaptive multilingual text filtering systems seek to do so for collections of text which contain more than one language. The distinguishing feature of adaptive multilingual text filtering is that evidence obtained by observing reading behavior on text in one language can be used to predict interest in texts in another language. Existing multilingual text filtering systems are not adaptive, requiring instead that users explicitly specify their information needs using words from each language of interest. |
MPACT Scores for Douglas W. OardA = 2 Advisors and Advisees Graph |