Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"University of Arkansas" +contributor:("Susan E. Gauch"). Showing records 1 – 2 of 2 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Arkansas

1. Joseph, Ann Smittu. Conceptual, Impact-Based Publications Recommendations.

Degree: MS, 2013, University of Arkansas

CiteSeerx is a digital library for scientific publications by computer science researchers. It also functions as a search engine with several features including autonomous citation indexing, automatic metadata extraction, full-text indexing and reference linking. Users are able to retrieve relevant documents from the CiteSeerx database directly using search queries and will further benefit if the system suggests document recommendations to the user based on their preferences and search history. Therefore, recommender systems were initially developed and continue to evolve to recommend more relevant documents to the CiteSeerx users. In this thesis, we introduce the Conceptual, Impact-Based Recommender (CIBR), a hybrid recommender system, derived from the previously implemented conceptual recommender system in CiteSeerx. The Conceptual recommender system utilized the user's top weighted concepts to recommend relevant documents to the users. Our hybrid recommender system, CIBR, considers the impact factor in addition to the top weighted concepts for generating recommendations for the user. The impact factor of a document is determined by using the author's h-index of the publication. A survey was conducted to evaluate the efficiency of our hybrid system and this study shows that the CIBR system generates more relevant documents as compared to those recommended by the conceptual recommender system. Advisors/Committee Members: Susan E. Gauch, Brajendra Panda, Dale R. Thompson.

Subjects/Keywords: Communication and the arts; Applied sciences; Information retrieval; Recommender system; Graphics and Human Computer Interfaces

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Joseph, A. S. (2013). Conceptual, Impact-Based Publications Recommendations. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/919

Chicago Manual of Style (16th Edition):

Joseph, Ann Smittu. “Conceptual, Impact-Based Publications Recommendations.” 2013. Masters Thesis, University of Arkansas. Accessed November 30, 2020. https://scholarworks.uark.edu/etd/919.

MLA Handbook (7th Edition):

Joseph, Ann Smittu. “Conceptual, Impact-Based Publications Recommendations.” 2013. Web. 30 Nov 2020.

Vancouver:

Joseph AS. Conceptual, Impact-Based Publications Recommendations. [Internet] [Masters thesis]. University of Arkansas; 2013. [cited 2020 Nov 30]. Available from: https://scholarworks.uark.edu/etd/919.

Council of Science Editors:

Joseph AS. Conceptual, Impact-Based Publications Recommendations. [Masters Thesis]. University of Arkansas; 2013. Available from: https://scholarworks.uark.edu/etd/919


University of Arkansas

2. Stafford, Gregory Thomas. Analysis of Social Networks in a Virtual World.

Degree: MS, 2013, University of Arkansas

As three-dimensional virtual environments become both more prevalent and more fragmented, studying how users are connected via their avatars and how they benefit from the virtual world community has become a significant area of research. An in-depth analysis of virtual world Social networks is needed to evaluate how users interact in virtual worlds, to better understand the impact of avatar Social networks on the virtual worlds, and to improve future online Social networks. Our current efforts are focused on building and exploring the Social network aspects of virtual worlds. In this thesis, we build a Social network of avatars based on their interaction in the Second Life virtual world and compare it to other Social networking sites found on the web. Experimental results with data crawled from Second Life virtual worlds demonstrate that our approach was able to build a representative network of avatars in a virtual world from the sample data. The analysis comparison between virtual world Social networks and others in the flat web allows us to gauge measures that better explore the relationship between locations linked by multiple users and their avatars. Using this comparison, we can also determine if techniques of personalized search and content recommendation are feasible for virtual world environments. Advisors/Committee Members: Susan E. Gauch, Craig W. Thompson, John M. Gauch.

Subjects/Keywords: Communications and the arts; Applied sciences; Graph algorithms; Online social networks; Virtual reality; Digital Communications and Networking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Stafford, G. T. (2013). Analysis of Social Networks in a Virtual World. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/925

Chicago Manual of Style (16th Edition):

Stafford, Gregory Thomas. “Analysis of Social Networks in a Virtual World.” 2013. Masters Thesis, University of Arkansas. Accessed November 30, 2020. https://scholarworks.uark.edu/etd/925.

MLA Handbook (7th Edition):

Stafford, Gregory Thomas. “Analysis of Social Networks in a Virtual World.” 2013. Web. 30 Nov 2020.

Vancouver:

Stafford GT. Analysis of Social Networks in a Virtual World. [Internet] [Masters thesis]. University of Arkansas; 2013. [cited 2020 Nov 30]. Available from: https://scholarworks.uark.edu/etd/925.

Council of Science Editors:

Stafford GT. Analysis of Social Networks in a Virtual World. [Masters Thesis]. University of Arkansas; 2013. Available from: https://scholarworks.uark.edu/etd/925

.