| 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 |
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
