|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-3-540-31655-8 |
003 |
DE-He213 |
005 |
20221012203923.0 |
007 |
cr nn 008mamaa |
008 |
100715s2005 gw | s |||| 0|eng d |
020 |
|
|
|a 9783540316558
|9 978-3-540-31655-8
|
024 |
7 |
|
|a 10.1007/11577935
|2 doi
|
050 |
|
4 |
|a Q334-342
|
050 |
|
4 |
|a TA347.A78
|
072 |
|
7 |
|a UYQ
|2 bicssc
|
072 |
|
7 |
|a COM004000
|2 bisacsh
|
072 |
|
7 |
|a UYQ
|2 thema
|
082 |
0 |
4 |
|a 006.3
|2 23
|
245 |
1 |
0 |
|a Intelligent Techniques for Web Personalization
|h [electronic resource] :
|b IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers /
|c edited by Bamshad Mobasher, Sarabjot Singh Anand.
|
250 |
|
|
|a 1st ed. 2005.
|
264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2005.
|
300 |
|
|
|a VIII, 328 p.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 3169
|
505 |
0 |
|
|a Intelligent Techniques for Web Personalization -- Intelligent Techniques for Web Personalization -- User Modelling -- Modeling Web Navigation: Methods and Challenges -- The Traits of the Personable -- Addressing Users' Privacy Concerns for Improving Personalization Quality: Towards an Integration of User Studies and Algorithm Evaluation -- Recommender Systems -- Case-Based Recommender Systems: A Unifying View -- Improving the Performance of Recommender Systems That Use Critiquing -- Hybrid Systems for Personalized Recommendations -- Enabling Technologies -- Collaborative Filtering Using Associative Neural Memory -- Scaling Down Candidate Sets Based on the Temporal Feature of Items for Improved Hybrid Recommendations -- Discovering Interesting Navigations on a Web Site Using SAM I -- Personalized Information Access -- Personalisation of Web Search -- The Compass Filter: Search Engine Result Personalization Using Web Communities -- Predicting Web Information Content -- Systems and Applications -- Mobile Portal Personalization: Tools and Techniques -- IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behavior -- A Semantic-Based User Privacy Protection Framework for Web Services -- Web Personalisation for Users Protection: A Multi-agent Method.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
0 |
|a Computer networks .
|
650 |
|
0 |
|a Information storage and retrieval systems.
|
650 |
|
0 |
|a User interfaces (Computer systems).
|
650 |
|
0 |
|a Human-computer interaction.
|
650 |
|
0 |
|a Computers and civilization.
|
650 |
|
0 |
|a Business information services.
|
650 |
1 |
4 |
|a Artificial Intelligence.
|
650 |
2 |
4 |
|a Computer Communication Networks.
|
650 |
2 |
4 |
|a Information Storage and Retrieval.
|
650 |
2 |
4 |
|a User Interfaces and Human Computer Interaction.
|
650 |
2 |
4 |
|a Computers and Society.
|
650 |
2 |
4 |
|a IT in Business.
|
700 |
1 |
|
|a Mobasher, Bamshad.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
700 |
1 |
|
|a Anand, Sarabjot Singh.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9783540817482
|
776 |
0 |
8 |
|i Printed edition:
|z 9783540298465
|
830 |
|
0 |
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 3169
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/11577935
|z Texto Completo
|
912 |
|
|
|a ZDB-2-SCS
|
912 |
|
|
|a ZDB-2-SXCS
|
912 |
|
|
|a ZDB-2-LNC
|
950 |
|
|
|a Computer Science (SpringerNature-11645)
|
950 |
|
|
|a Computer Science (R0) (SpringerNature-43710)
|