LEADER 00759nam0-22002891i-450- 001 990000320820403321 005 20001010 035 $a000032082 035 $aFED01000032082 035 $a(Aleph)000032082FED01 035 $a000032082 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aQuantum chemistry$eAn introduction.$fWalter Kauzmann. 210 $aNew York$cAcademic Press Inc.$d1957 215 $aXII,744 p., 25 cm 676 $a660 700 1$aKauzmann,$bWalter$017871 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000320820403321 952 $a04 124-34$bCI$fDINCH 959 $aDINCH 996 $aQuantum chemistry$9130030 997 $aUNINA DB $aING01 LEADER 03796nam 22005895 450 001 9910983304503321 005 20250131215034.0 010 $a9783031731471$b(electronic bk.) 010 $z9783031731464 024 7 $a10.1007/978-3-031-73147-1 035 $a(MiAaPQ)EBC31859439 035 $a(Au-PeEL)EBL31859439 035 $a(CKB)37081500500041 035 $a(DE-He213)978-3-031-73147-1 035 $a(OCoLC)1482237276 035 $a(EXLCZ)9937081500500041 100 $a20241224d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInformation Access in the Era of Generative AI /$fedited by Ryen W. White, Chirag Shah 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (250 pages) 225 1 $aThe Information Retrieval Series,$x2730-6836 ;$v51 311 08$aPrint version: White, Ryen W. Information Access in the Era of Generative AI Cham : Springer,c2025 9783031731464 327 $a1. Introduction -- 2. Foundations of Generative IR -- 3. Interactions With Generative IR Systems -- 4. Adapting Generative IR Systems to Users, Tasks, and Scenarios -- 5. Improving Generative IR Systems Based on User Feedback -- 6. Generative IR Evaluation -- 7. Sociotechnical Implications of Generative AI for Information Access -- 8. Recommendation in the Era of Generative AI -- 9. Designing for the Future of Information Access with Generative IR. 330 $aGenerative Artificial Intelligence (GenAI) has emerged as a groundbreaking technology that promises to revolutionize many industries as well as people?s personal and professional lives. This book discusses GenAI and its role in information access - often referred to as Generative Information Retrieval (GenIR) - or more broadly, information interaction. The role of GenAI in information access is complex and dynamic, with many dimensions. To address this, following a brief introduction to GenAI and GenIR, the remainder of the book provides eight chapters, each targeting a different dimension or sub-topic. These cover foundations of GenIR, interactions with GenIR systems, adapting them to users, tasks, and scenarios, improving them based on user feedback, GenIR evaluation, sociotechnical implications of GenAI, recommendations within GenIR, and the future of information access with GenIR. The book is targeted at graduate students and researchers interested in issues of information retrieval, access, and interactions, as well as applications of GenAI in various informational contexts. While some of the parts assume prior background in IR or AI, most others do not, making this book suitable for adoption in various classes as a primary source or as a supplementary material. 410 0$aThe Information Retrieval Series,$x2730-6836 ;$v51 606 $aInformation storage and retrieval systems 606 $aArtificial intelligence 606 $aApplication software 606 $aInformation Storage and Retrieval 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 615 0$aInformation storage and retrieval systems. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 14$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 676 $a025.04 700 $aWhite$b Ryen W$01786027 701 $aShah$b Chirag$0930043 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910983304503321 996 $aInformation Access in the Era of Generative AI$94317444 997 $aUNINA