Classifying and ranking search engine results as potential sources of plagiarism

DocEng 2014 - Proceedings of the 2014 ACM Symposium on Document Engineering

Volumn , Issue , 2014, Pages 97-106

  Williams, Kyle ^a   Chen, Hung Hsuan ^a   Giles, C Lee ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Plagiarism detection; Query generation; Search result ranking; Source retrieval

Indexed keywords

INFORMATION RETRIEVAL SYSTEMS; INTELLECTUAL PROPERTY; SEARCH ENGINES;

BASELINE METHODS; PLAGIARISM DETECTION; POTENTIAL SOURCES; QUERY GENERATION; SEARCH ENGINE RESULTS; SEARCH RESULT RANKINGS; SOURCE RETRIEVAL; SUPERVISED METHODS;

INFORMATION RETRIEVAL;

EID: 84908614059     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2644866.2644879     Document Type: Conference Paper

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