Tools

LEADER 03345cam a2200505Ii 4500

001 ocn857589649;

003 OCoLC;

005 20141212060100.0;

006 m o d ;

007 cr bn|||||||||;

008 130904s2013 ncua ob 000 0 eng d;

035 a| (Sirsi) o857589649;

035 a| (OCoLC)857589649;

049 a| EREE;

090 a| ZA4235;

100 1 a| Darabi, Majid,e| author.?| UNAUTHORIZED;

245 10 a| UInterestManager :b| a generic framework to model user interests /c| by Majid Darabi.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2013.;

300 a| 47 pages :b| illustrations (some color);

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 1.41Mb2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2013.;

500 a| Presented to the faculty of the Department of Computer Science.;

500 a| Advisor: M. H. Nassehzadeh Tabrizi.;

500 a| Title from PDF t.p. (viewed September 27, 2013).;

520 3 a| With the proliferation of documents on the Internet, it has become increasingly difficult for users to search and retrieve the information they want: information that is relevant and interesting. To address this problem, researchers have adopted personalized services and filtering systems that rely on user preferences. In this thesis, we present a novel method to model user interests automatically and generate a ranked list of preferences for each user in real time. The proposed framework here consists of three main steps to automatically model user preferences and generate a ranked list of the user's interests in real time. 1) Through the use of WordNet, a list of keywords which represent explicit interests is extracted from a text document and then implicit user preferences are determined by employing domain ontology. 2) A hierarchical data structure for each user stores interests and is updated for each new document read by that user. Additionally, there is a queue of recently accessed interests for each user that maintains these preferences based upon arrival time. 3) The final step includes generating a ranked list of top K interests for each user in real time. This ranking system employs the user model to create a combined list of both short-term and long-term interests. The results show significant improvement over some widely used methods.;

504 a| Includes bibliographical references.;

650 0 a| Internet searching.=| ^A442316;

650 0 a| Internet users.=| ^A464581;

650 0 a| Information storage and retrieval systems.=| ^A14867;

653 a| Computer science;

700 1 a| Tabrizi, M. H. N.,e| degree supervisor.?| UNAUTHORIZED;

710 2 a| East Carolina University.b| Department of Computer Science.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/4228;

949 o| jgml;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 3361952;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3361952-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 9/4/2013x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3361952-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 9/4/2013x| ETDz| HERESOURCE;

UInterestManager : a generic framework to model user interests / by Majid Darabi.

Author/creator	Darabi, Majid author.
Other author	Tabrizi, M. H. N., degree supervisor.
Other author	East Carolina University. Department of Computer Science.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2013.
Description	47 pages : illustrations (some color)
Supplemental Content	Access via ScholarShip
Subjects	Internet searching. Internet users. Information storage and retrieval systems.

Summary	With the proliferation of documents on the Internet, it has become increasingly difficult for users to search and retrieve the information they want: information that is relevant and interesting. To address this problem, researchers have adopted personalized services and filtering systems that rely on user preferences. In this thesis, we present a novel method to model user interests automatically and generate a ranked list of preferences for each user in real time. The proposed framework here consists of three main steps to automatically model user preferences and generate a ranked list of the user's interests in real time. 1) Through the use of WordNet, a list of keywords which represent explicit interests is extracted from a text document and then implicit user preferences are determined by employing domain ontology. 2) A hierarchical data structure for each user stores interests and is updated for each new document read by that user. Additionally, there is a queue of recently accessed interests for each user that maintains these preferences based upon arrival time. 3) The final step includes generating a ranked list of top K interests for each user in real time. This ranking system employs the user model to create a combined list of both short-term and long-term interests. The results show significant improvement over some widely used methods.
General note	Presented to the faculty of the Department of Computer Science.
General note	Advisor: M. H. Nassehzadeh Tabrizi.
General note	Title from PDF t.p. (viewed September 27, 2013).
Dissertation note	M.S. East Carolina University 2013.
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

Availability

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Access Content Online	✔ Available

UInterestManager : a generic framework to model user interests / by Majid Darabi.

Click here for more information about this title

Availability