Proceedings ArticleDOI
On the resemblance and containment of documents
TLDR
The basic idea is to reduce these issues to set intersection problems that can be easily evaluated by a process of random sampling that could be done independently for each document.Abstract:
Given two documents A and B we define two mathematical notions: their resemblance r(A, B) and their containment c(A, B) that seem to capture well the informal notions of "roughly the same" and "roughly contained." The basic idea is to reduce these issues to set intersection problems that can be easily evaluated by a process of random sampling that can be done independently for each document. Furthermore, the resemblance can be evaluated using a fixed size sample for each document. This paper discusses the mathematical properties of these measures and the efficient implementation of the sampling process using Rabin (1981) fingerprints.read more
Citations
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Journal ArticleDOI
Quantifying the ecological diversity and health of online news
TL;DR: Ecological diversity measures are applied to quantify the health of the Chilean online news ecology using extensive ownership and social media data to indicate that high levels concentration characterizes the Chilean media landscape in terms of ownership and topical coverage.
Patent
Near-duplicate video retrieval
TL;DR: In this article, a similarity of a first video to a second video was identified automatically by identifying the occurrences of a binary representation in the first video and the second video, based on a feature common to each of the sub-images.
Proceedings Article
Automatic external plagiarism detection using passage similarities
Clara Vania,Mirna Adriani +1 more
Book ChapterDOI
Efficient Compression Technique for Sparse Sets
TL;DR: In this article, the authors consider the data points as sets and use Jaccard similarity as the similarity measure, and propose a compression algorithm for high dimensional, sparse, binary data for preserving the Inner product and Hamming distance.
References
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Book
The Probabilistic Method
TL;DR: A particular set of problems - all dealing with “good” colorings of an underlying set of points relative to a given family of sets - is explored.
Journal ArticleDOI
Syntactic clustering of the Web
TL;DR: An efficient way to determine the syntactic similarity of files is developed and applied to every document on the World Wide Web, and a clustering of all the documents that are syntactically similar is built.
Journal ArticleDOI
Min-Wise Independent Permutations
TL;DR: This research was motivated by the fact that such a family of permutations is essential to the algorithm used in practice by the AltaVista web index software to detect and filter near-duplicate documents.
Proceedings Article
Finding similar files in a large file system
TL;DR: Application of sif can be found in file management, information collecting, program reuse, file synchronization, data compression, and maybe even plagiarism detection.
Proceedings ArticleDOI
Copy detection mechanisms for digital documents
TL;DR: This paper proposes a system for registering documents and then detecting copies, either complete copies or partial copies, and describes algorithms for such detection, and metrics required for evaluating detection mechanisms (covering accuracy, efficiency, and security).