similarity graph-based approach
A reinforced collaborative filtering approach based on similarity propagation and score predication graph
... Neighborhood- based approaches, further divided into user-based [6] and item-based approaches [7, 8], serve to identify similar users with the target user according to their similarity which ...
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Taxonomy Learning to Improve Overall Associative Strength among Concept-A Graph Based Approach
... corpus based semantic taxonomy learning ...and similarity sentences where such concepts are co- occur ...a graph analytic algorithm to induce a taxonomy aiming to maximize the overall associative ...
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Comparison of chemical clustering methods using graph- and fingerprint-based similarity measures
... such approach uses a maximum common subgraph isomorphism algorithm to identify the largest substructure common to a pair of molecules, with the size of this maximum common substructure (MCS) being determined by ...
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A SURVEY ON DATABASE SYNCHRONIZATION ALGORITHMS FOR MOBILE DEVICE
... are based on the similarities called "surfaces": a model of similarity based on descriptive properties of objects without considering the relationships between these ...measure, based ...
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Graph Based Similarity Measures for Synonym Extraction from Parsed Text
... constrained graph walk method to the task of eliciting general word relatedness from parsed text, conducting a set of ex- periments on the task of synonym ...
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A Microblock Density-Based Similarity Measure for Graph Clustering
... Abstract: Graph clustering is an important technique in data mining and network analysis, and it is widely used in chemistry, physics, biology, communication, and computer ...a graph are the fundamental ...
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Web-graph pre-compression for similarity based algorithms
... web graph at a later ...grouping approach is to group the pages with close index numbers ...indexed based on their similarity, similar pages will be grouped ...Community based [13] ...
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A Robust Approach to Aligning Heterogeneous Lexical Resources
... semantic similarity to go be- yond the surface realization of definitions (Nav- igli, 2006; Meyer and Gurevych, 2011; Niemann and Gurevych, ...semantic graph, as with WordNet or Wikipedia, this limit can be ...
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Recognizing Identical Events with Graph Kernels
... novel approach for recognizing identical events that relies on structured, graph- based representations of events described in a ...use graph kernels as an expres- sive framework for modeling ...
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Enhanced Sentence-Level Text Clustering using Semantic Sentence Similarity from Different Aspects
... a graph representation of the data, and performs based on Expectation-Maximization ...sentence based sentence similarity. Probably based on information people can obtain from a ...
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Nonlinear Evidence Fusion and Propagation for Hyponymy Relation Mining
... Term similarity graphs can be obtained by dis- tributional similarity or patterns (Agirre et ...of graph DS and the second type PB. DS approaches are based on the distributional hy- pothesis ...
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An Emphasizing Approach based on Enhanced Intuitionistic Fuzzy Logic Segmentation on Objects in Video Sequences
... a graph and a subgraph of another larger graph, then the problem is called subgraph ...be graph isomorphism between viewed RAGs of a single ...
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Learning Graph Walk Based Similarity Measures for Parsed Text
... word similarity (relatedness), and are therefore an appropriate test case for our ...plates) approach (Hearst, 1992), this approach was designed for very large corpora such as the Web, where the ...
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Unsupervised entity linking using graph-based semantic similarity
... rule-based approach to filter-out noisy candidates from the set of whole ...disambiguation approach that uses graph structure towards ranking ...clustering approach that groups all same ...
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Cross-domain graph based similarity measurement of workflows
... is based on SC and we assumed each observation is a sparse combination of the lexicon ...for similarity measurement, as done in ...workflow similarity can be calculated in the same way as in the Bag ...
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Similarity-based Knowledge Graph Queries for Recommendation Retrieval | www.semantic-web-journal.net
... recommendations based on the features of the works created by the artist (similar to Q5, ...recommendations based on the creative works of the favored ...which approach they were assessing and ...
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Graph based Semi Supervised Model for Joint Chinese Word Segmentation and Part of Speech Tagging
... the graph-based semi-supervised ...semi-supervised approach is able to discover their label information with the help of a similarity ...
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A Graph Based Approach for Efficient Document Similarity Detection
... The POS-based bigram calculation extricates ideas, for example, advertise, a few natural products, organic products, and vegetables. Keeping in mind the end goal to catch occasion ideas, coordinates between the ...
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JoBimText Visualizer: A Graph based Approach to Contextualizing Distributional Similarity
... this graph using the Chinese Whispers graph clustering algorithm (Biemann, 2010), which finds the number of clusters automatically, to ob- tain induced word ...O graph per ...
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Research on Similarity Nodes Query Algorithm ...
... dynamic graph topology, in order to quantify the change of the change of the relation between the nodes within a certain time, a concept, namely ubiquitous similarity node, was defined, and the level of ...
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