Search results for "web search"

showing 10 items of 22 documents

Integrating Keyword Advertising and Dynamic Pricing for an Online Market Place

2014

Keyword Advertising is a main marketing instrument for e-commerce companies in order to generate traffic from search engines on their website. The costs for Keyword Advertising are determined in an auction that is conducted for every single search query, which is entered in by a user. In case of an online market place, each adlink provided by the search engine refers to an ordered list of products on the website of the online market place. Hereby, the price of the product is oftentimes one important criteria for the user when deciding for one or the other product from the list. However, existing models assume the price of products to be exogeneous. By taking into account the prices of linke…

Product (business)Web search queryOrder (exchange)business.industryKeyword advertisingDynamic pricingAdvertisingBiddingDecision problembusinessOnline advertising
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Visual Re-Ranking for Multi-Aspect Information Retrieval

2017

We present visual re-ranking, an interactive visualization technique for multi-aspect information retrieval. In multi-aspect search, the information need of the user consists of more than one aspect or query simultaneously. While visualization and interactive search user interface techniques for improving user interpretation of search results have been proposed, the current research lacks understanding on how useful these are for the user: whether they lead to quantifiable benefits in perceiving the result space and allow faster, and more precise retrieval. Our technique visualizes relevance and document density on a two-dimensional map with respect to the query phrases. Pointing to a locat…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniWeb search queryConcept searchInformation retrievalSettore INF/01 - Informaticamulti-aspect searchComputer scienceinformation retrieval information visualization multi-aspect search multi-dimensional rankingInformationSystems_INFORMATIONSTORAGEANDRETRIEVALeducation020207 software engineeringta613202 engineering and technology113 Computer and information sciencesQuery expansionmulti-dimensional rankingWeb query classification020204 information systemsHuman–computer information retrieval0202 electrical engineering electronic engineering information engineeringRelevance (information retrieval)Visual Wordinformation visualizationinformation retrievalDocument retrieval
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User session level diverse reranking of search results

2018

Most Web search diversity approaches can be categorized as Document Level Diversification (DocLD), Topic Level Diversification (TopicLD) or Term Level Diversification (TermLD). DocLD selects the relevant documents with minimal content overlap to each other. It does not take the coverage of query subtopics into account. TopicLD solves this by modeling query subtopics explicitly. However, the automatic mining of query subtopics is difficult. TermLD tries to cover as many query topic terms as possible, which reduces the task of finding a query's subtopics into finding a set of representative topic terms. In this paper, we propose a novel User Session Level Diversification (UserLD) approach bas…

ta113InternetInformation retrievalWeb search queryuser sessionComputer scienceCognitive NeuroscienceInformationSystems_INFORMATIONSTORAGEANDRETRIEVAL02 engineering and technologyGraphComputer Science Applicationssearch result rerankingQuery expansionsession graphArtificial IntelligenceWeb query classification020204 information systems0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)020201 artificial intelligence & image processingtiedonhakuhakutuloksetsearch result diversification
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A query language for medical statistical analysis

1991

While standard query languages support primarily the definition of single queries, in the evaluation of medical studies one usually formulates large sets of interdependent queries. A set of this type is called an integrated transaction. Our system for the definition of integrated transactions is based on the observation that in medicine a large number of statistical evaluations is founded on a conceptional model that can be structured as a tree. We describe a screen oriented tree editor for the relational data base system DBase and report on our experience with its application in the evaluation of the success rate of PTCA interventions.

Query expansionInformation retrievalWeb search queryComputer scienceWeb query classificationData control languageQuery by ExampleQuery languageQuery optimizationcomputercomputer.programming_languageRDF query language
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Mobile Search - Social Network Search Using Mobile Devices

2008

During the last years progress in Web search engines has been made to the point that relevant information can be reached easily most of the time. However very little empirical research has been carried to study Web search in highly dynamic social network environments composed of mobile devices. The aim of this work was therefore to investigate novel approaches that took advantage of the social network environment inherent to mobile peer-to-peer paradigm. The work focused mainly on the development of a prototype for mobile search concept. The prototype was built on top of Drupal content site management system. This study suggests that the methods presented can be a complement to traditional …

Web search querySocial networkMultimediabusiness.industryComputer scienceSearch analyticsMobile computingMobile business developmentMobile Webcomputer.software_genreWorld Wide WebMobile databaseMobile searchMobile technologybusinessWeb crawlerMobile devicecomputer2008 5th IEEE Consumer Communications and Networking Conference
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Does More Context Help? Effects of Context Window and Application Source on Retrieval Performance

2021

We study the effect of contextual information obtained from a user’s digital trace on Web search performance. Contextual information is modeled using Dirichlet–Hawkes processes (DHP) and used in augmenting Web search queries. The context is captured by monitoring all naturally occurring user behavior using continuous 24/7 recordings of the screen and associating the context with the queries issued by the users. We report a field study in which 13 participants installed a screen recording and digital activity monitoring system on their laptops for 14 days, resulting in data on all Web search queries and the associated context data. A query augmentation (QAug) model was built to expand the or…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalContext windowSettore INF/01 - InformaticaComputer science05 social sciencesContext (language use)01 natural sciencesGeneral Business Management and AccountingComputer Science ApplicationsTrace (semiology)010104 statistics & probabilitydigital user behavior contextual information context window query augmentation application source Web searchContextual information0509 other social sciences0101 mathematics050904 information & library sciencesInformation Systems
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Towards Graphical Query Notation for Semantic Databases

2015

We describe a notation and a tool for schema-enabled visual/diagrammatic creation of SPARQL queries over RDF databases. The notation and the tool support both the standard basic query pattern comprising a main query class and possibly linked condition classes and means for aggregate query definition and placing conditions over aggregates including also aggregation of aggregate results. We discuss the applicability of the tool for ad-hoc query formulation in practical use cases.

Web search queryInformation retrievalComputer scienceInformationSystems_INFORMATIONSTORAGEANDRETRIEVALAggregate (data warehouse)InformationSystems_DATABASEMANAGEMENTcomputer.file_formatQuery languageQuery optimizationNotationSPARQLSargableQuery by Examplecomputercomputer.programming_language
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A web search methodology for different user typologies

2009

Search engines and directories are the main tools used to find desired information into the ocean of digital contents that is the Web. However, they are not presently able to understand the user specific needs and starting knowledge because their inability to simulate the processes of human mind. Natural Language Processing, Folksonomy, Semantic Web and Serendipitous Surfing are some of the recent research fields towards understanding of human natural language and in general of real user needs. This work aims to add one step more to this evolution path by presenting a new search methodology that allows users to create new knowledge paths on the web based on their specific requirements. Thus…

medicine.medical_specialtyInformation retrievalWeb search querySettore INF/01 - Informaticabusiness.industryComputer scienceSearch analyticsSemantic searchSocial Semantic WebWorld Wide WebWeb pageWeb designmedicineInformation Search and Retrieval Clustering Search Process Web EngineWeb crawlerbusinessWeb modelingProceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
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U-search: a meta engine for creation of knowledge paths on the web

2010

The main tools used to find digital contents in the Web are search engines and directories but they are not presently able to understand the user specific needs and starting knowledge. This work presents "U-Search" a new meta engine that allows to create knowledge paths on the Web based on specific user requirements and knowledge levels. To this end, we consider different searcher categories such as a "basic searcher" who knows little about a topic and will look for more information, a "deep searcher" who will look for specific details on a topic that he/she already knows and a "wide searcher" who will look for expanding his/her knowledge domain with topics that are loosely related to the s…

medicine.medical_specialtyInformation retrievalSettore INF/01 - InformaticaComputer scienceclustering information search and retrieval search process web engineUser requirements documentDomain (software engineering)World Wide WebSearch engineWeb pagemedicineWeb search engineCluster analysisUser needsWeb modeling
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Temporal Logic To Query Semantic Graphs Using The Model Checking Method

2012

International audience; Semantic interoperability problems have found their solutions due to the use of languages and techniques from the Semantic Web. The proliferations of ontologies and meta-information have improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modeling, and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of rese…

[INFO.INFO-WB] Computer Science [cs]/WebComputer science[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE][ INFO.INFO-WB ] Computer Science [cs]/WebSPARQL.02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE]Ontology (information science)computer.software_genreQuery languagetemporal logic querySPARQLSocial Semantic WebSearch engineDescription logicSemantic similaritytemporal logicArtificial IntelligenceWeb query classificationSemantic computing0202 electrical engineering electronic engineering information engineeringInformation systemSemantic analyticsSPARQLSemantic Web StackRDFSemantic Webcomputer.programming_language[INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC]Web search querySemantic Web Rule LanguageProgramming languagebusiness.industry[INFO.INFO-SC] Computer Science [cs]/Symbolic Computation [cs.SC][INFO.INFO-WB]Computer Science [cs]/Web020207 software engineeringcomputer.file_formatSemantic interoperabilitymodel checking[ INFO.INFO-SC ] Computer Science [cs]/Symbolic Computation [cs.SC]Human-Computer InteractionSemantic graph020201 artificial intelligence & image processingbusinesscomputerSoftwareRDF query language
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