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Statistical methods for recommender systems

Statistical methods for recommender systems (Loan 1 times)

Material type
단행본
Personal Author
Agarwal, Deepak K., 1973-. Chung-Chen, Bee.
Title Statement
Statistical methods for recommender systems / Deepak K. Agarwal, Linkedln Corporation, Bee Chung-Chen, Linkedln Corporation.
Publication, Distribution, etc
New York, NY :   Cambridge University Press,   c2016.  
Physical Medium
xii, 284 p. ; 24 cm.
기타형태 저록
Online version:   Agarwal, Deepak K.   Statistical methods for recommender systems   9781139565868   (211009) 000045965084  
ISBN
9781107036079
General Note
Online version: Agarwal, Deepak K. Statistical methods for recommender systems 9781139565868
Bibliography, Etc. Note
Includes bibliographical references (p. 265-272) and index.
Subject Added Entry-Topical Term
Recommender systems (Information filtering) --Statistical methods. Expert systems (Computer science) --Statistical methods.
000 00000cam u2200205 a 4500
001 000045936190
005 20190114150441
008 180322s2016 nyu b 001 0 eng d
010 ▼a 2015026092
020 ▼a 9781107036079
035 ▼a (KERIS)REF000017856844
040 ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d DLC ▼d 211009
050 0 0 ▼a QA76.76.E95 ▼b A395 2016
082 0 0 ▼a 006.3/3 ▼2 23
084 ▼a 006.33 ▼2 DDCK
090 ▼a 006.33 ▼b A261s
100 1 ▼a Agarwal, Deepak K., ▼d 1973-.
245 1 0 ▼a Statistical methods for recommender systems / ▼c Deepak K. Agarwal, Linkedln Corporation, Bee Chung-Chen, Linkedln Corporation.
260 ▼a New York, NY : ▼b Cambridge University Press, ▼c c2016.
300 ▼a xii, 284 p. ; ▼c 24 cm.
504 ▼a Includes bibliographical references (p. 265-272) and index.
650 0 ▼a Recommender systems (Information filtering) ▼x Statistical methods.
650 0 ▼a Expert systems (Computer science) ▼x Statistical methods.
700 1 ▼a Chung-Chen, Bee.
776 0 8 ▼i Online version: ▼a Agarwal, Deepak K. ▼t Statistical methods for recommender systems ▼z 9781139565868 ▼w (211009) 000045965084
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 006.33 A261s Accession No. 111788211 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Section	Section Description	Page Number
Part I	Introduction	
1	    Introduction	
2	    Classical methods	
3	    Explore/exploit for recommender problems	
4	    Evaluation methods	
Part II	Common Problem Settings	
5	    Problem settings and system architecture	
6	    Most-popular recommendation	
7	    Personalization through feature-based regression	
8	    Personalization through factor models	
Part III	Advanced Topics	
9	    Factorization through latent dirichlet allocation	
10	    Context-dependent recommendation	
11	    Multi-objective optimization

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