LEADER 04148nam 22007575 450 001 996465478403316 005 20200703065743.0 010 $a3-319-76941-3 024 7 $a10.1007/978-3-319-76941-7 035 $a(CKB)4100000002744379 035 $a(DE-He213)978-3-319-76941-7 035 $a(MiAaPQ)EBC6295865 035 $a(MiAaPQ)EBC5596505 035 $a(Au-PeEL)EBL5596505 035 $a(OCoLC)1029604689 035 $a(PPN)225550725 035 $a(EXLCZ)994100000002744379 100 $a20180228d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Information Retrieval$b[electronic resource] $e40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings /$fedited by Gabriella Pasi, Benjamin Piwowarski, Leif Azzopardi, Allan Hanbury 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXV, 844 p. 145 illus.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v10772 311 $a3-319-76940-5 327 $aTopic Modelling -- Health Applications -- Deep Learning -- Evulations and user behavoir -- Representation -- Recommendation -- Retrieval -- Learning and Classification -- Microblogs. . 330 $aThis book constitutes the refereed proceedings of the 40th European Conference on IR Research, ECIR 2018, held in Grenoble, France, in March 2018. The 39 full papers and 39 short papers presented together with 6 demos, 5 workshops and 3 tutorials, were carefully reviewed and selected from 303 submissions. Accepted papers cover the state of the art in information retrieval including topics such as: topic modeling, deep learning, evaluation, user behavior, document representation, recommendation systems, retrieval methods, learning and classication, and micro-blogs. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v10772 606 $aInformation storage and retrieval 606 $aApplication software 606 $aData mining 606 $aArtificial intelligence 606 $aNatural language processing (Computer science) 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 615 0$aInformation storage and retrieval. 615 0$aApplication software. 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aNatural language processing (Computer science). 615 14$aInformation Storage and Retrieval. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aNatural Language Processing (NLP). 615 24$aNatural Language Processing (NLP). 676 $a025.04 702 $aPasi$b Gabriella$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPiwowarski$b Benjamin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAzzopardi$b Leif$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHanbury$b Allan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465478403316 996 $aAdvances in Information Retrieval$9772246 997 $aUNISA LEADER 05470nam 2200661 450 001 9910822470403321 005 20200520144314.0 010 $a1-78328-596-6 035 $a(CKB)2550000001280427 035 $a(EBL)1582946 035 $a(SSID)ssj0001217203 035 $a(PQKBManifestationID)11788472 035 $a(PQKBTitleCode)TC0001217203 035 $a(PQKBWorkID)11202069 035 $a(PQKB)11209944 035 $a(Au-PeEL)EBL1582946 035 $a(CaPaEBR)ebr10865427 035 $a(CaONFJC)MIL601705 035 $a(OCoLC)878920273 035 $a(CaSebORM)9781783285952 035 $a(MiAaPQ)EBC1582946 035 $a(PPN)228012740 035 $a(EXLCZ)992550000001280427 100 $a20140508h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSignalR real-time application cookbook $euse signalR to create real-time, bidirectional, and asynchronous applications based on standard web technologies /$fRoberto Vespa ; cover image by Aniket Sawant 205 $a1st edition 210 1$aBirmingham, England :$cPackt Publishing,$d2014. 210 4$dİ2014 215 $a1 online resource (292 p.) 225 1 $aQuick answers to common problems 300 $a"Quick answers to common problems"--Cover. 300 $aIncludes index. 311 $a1-78328-595-8 311 $a1-306-70454-5 327 $aCover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Understanding the Basics; Introduction; Adding a Hub to an ASP.NET project; Adding a Hub to a self-hosting application; Connecting to a Hub from a JavaScript client; Connecting to a Hub from a .NET application; Chapter 2: Using Hubs; Introduction; Adding a method to a Hub and counting the calls to it; Calling back the caller from a Hub's method; Broadcasting to all connected clients; Adding a connection to a group; Removing a connection from a group 327 $aBroadcasting to all connected clients except the callerBroadcasting to all clients except the specified ones; Broadcasting to all clients in a group except the caller; Broadcasting from outside a Hub; Using the return value of a Hub method; Chapter 3: Using the JavaScript Hubs Client API; Introduction; Starting a Hub connection; Setting up connection transport strategies; Calling a server-side Hub method; Adding a client-side method on the proxy and calling it from the server; Managing errors across a complex asynchronous workflow; Chapter 4: Using the .NET Hubs Client API; Introduction 327 $aStarting a Hub connectionSetting up connection transport strategies; Calling a server-side Hub method; Adding a client-side method on the proxy and calling it from the server; Managing errors across a complex asynchronous workflow; Chapter 5: Using a Persistent Connection; Introduction; Adding and registering a Persistent Connection; Sending messages from the server; Sending messages to the server; Exchanging messages between a server and a JavaScript client; Exchanging messages between a server and a .NET client; Chapter 6: Handling Connections; Introduction 327 $aControlling the lifetime of a connectionHandling a connection transient state; Establishing a cross-domain connection; Chapter 7: Analyzing Advanced Scenarios; Introduction; Generating static files for JavaScript proxies; Authorizing requests on a Hub; Authorizing requests on a Persistent Connection; Authorizing requests in a self-hosting context; Scaling up; Scaling out with Azure; Scaling out with Redis; Scaling out with SQL Server; Establishing proxy-less connections; Introducing dependency injection (simple approach); Introducing dependency injection (advanced approach) 327 $aUsing dependency injection to replace a default behaviorExtending the Hub pipeline; Handling errors; Chapter 8: Building Complex Applications; Introduction; Implementing a room-based chat application; Implementing a shared whiteboard; Implementing a real-time map of flying airplanes; Implementing a ""pets finder"" application; Implementing a custom backplane; Implementing a real-time error notification system; Appendix A: Creating Web Projects; Introduction; Creating an empty ASP.NET web application; Creating an ASP.NET web forms application; Creating an ASP.NET MVC application 327 $aCreating an MVC controller and a related view 330 $aThis book contains illustrated code examples to help you create real-time, asynchronous, and bi-directional client-server applications. Each recipe will concentrate on one specific aspect of application development with SignalR showing you how that aspect can be used proficiently. Different levels of developers will find this book useful. Beginners will be able to learn all the fundamental concepts of SignalR, quickly becoming productive in a difficult arena. Experienced programmers will find in this book a handy and useful collection of ready-made solutions to common use cases, which they wil 606 $aReal-time data processing 615 0$aReal-time data processing. 676 $a004.33 700 $aVespa$b Roberto$01673949 702 $aSawant$b Aniket 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822470403321 996 $aSignalR real-time application cookbook$94038436 997 $aUNINA