Query Classification
Query classification via Topic Models for an art image archive
... lately, Query Classification (QC) to detect user web search in- tent has obtained interesting results (Shen et ...user query to target categories brings improve- ments in general web search and ...
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Index Terms - Web Query Classification, Web Service, Neo4j Graph Database, OWL
... other classification systems [1 - 4] have been proposed by using training dataset, user query logs, click URLs and user session ...in query classification process is that the ...
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Query classification using topic models and support vector machine
... a query classification system for a specialized ...a query, can be exploited for extracting informa- tion useful to enrich the query as well as for creating the training set for a machine ...
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An Optimized Search Technique By Query Classification
... user query on the basis of „type‟ and „extension‟ then user will feed “unity” in search box and select “images” in „type‟ combo box and “bmp” in „extension‟ combo ...a query classification algorithm ...
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A Query Classification System based on Snippet Similarity for a One Click Search
... The authors proposed a query classification system based on snippet similarity for one-click search. By selecting an appropriate number of snippets, POSs , and SVM parameters in addition to data sources and ...
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Scalable Semi Supervised Query Classification Using Matrix Sketching
... The enormous scale of unlabeled text available today necessitates scalable schemes for representation learning in natural language processing. For instance, in this paper we are interested in classi- fying the intent of ...
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Web Query Classification and URL Ranking Based On Click through Approach
... same query. For example, a biologist may query “mouse” to get information about rodents, while programmers may use the same query to find information about computer ...a query is issued, ...
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Deep LSTM based Feature Mapping for Query Classification
... Figure 4 demonstrates some examples and their sen- timents predicted by our model trained on fine- grained classification data. In order to see how the nonlinear feature mapping captures the sentiment at each word ...
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Representation Learning Using Multi Task Deep Neural Networks for Semantic Classification and Information Retrieval
... retains independent parameters for computing the document representations. This is more similar to the original DSSM. We have attempted training this model using Algorithm 1, but it achieves good re- sults on ...
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Taxonomy based Data Marts
... is Query classification layer in which bridging classifier is used to couple queries in between mediator and target ...through query Classifier Bridge that yield ...
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Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval
... both query and documents can be writ- ten in either native or Roman script, or may be in both the ...for query expansion and query classification for mixed-script ...
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Learning Recurrent Event Queries for Web Search
... We found most of REQ are long tail queries that pose a major challenge to Web search. We have demonstrated learning REQ is important for Web search. this type of queries can’t be solved in tra- ditional ranking method. ...
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Evolving Lucene search queries for text classification
... text classification is the activity of assigning predefined category labels to natural language texts based on information found in a training set of labelled ...
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Target dependent Twitter Sentiment Classification
... sentiment classification, there are also several approaches proposed for target-dependent classification, such as (Nasukawa and Yi, 2003; Hu and Liu, 2004; Ding and Liu, ...
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Consensus Decision for Protein Structure Classification
... CS-BLAST is a context-specific version of BLAST for homologous proteins searching in sequence databases, able to provide more sensitive and accurate alignment than BLAST [19]. Effectively, instead of using substitu- tion ...
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A Combined Approach Used to find Domain Using Naïve Bayes Classifier
... name classification is a great challenge in a web ...new query result returns document, when that document enters, Naive Bayes uses to find the probability of highest term and phrased available there using ...
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A Survey on Inferring User Search Goals using Feedback Session
... ABSTRACT: Now a day‟s use of internet is increasing rapidly. For broad topic each new user may have his different user goals. Hence the inference and analysis of the user search goals can improve the effic iency of the ...
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Object Oriented Query Response Time for UML Models
... the query processor proc- essed the requested query; the query processor is a pro- cedure that selects the suitable strategy which executes and generates the ...The query processing is the ...
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Design Enrichment of Query Forms For Database Query
... Dynamic Query Form system: DQF, a query interface which is capable of automatically generating query forms for ...the query form ...interactions: Query Form Enrichment and Query ...
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Hindi Language Graphical User Interface to DBMS for Transport System
... Structure Query language ...execute query in their native ...a query, process it and after execution make the result available to the user in the same language which is nothing but the Hindi Language ...
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