Handling massive sparse data in recommendation systems
V. Lakshmi Chetana, Hari Seetha
| Year of publication: |
2024
|
|---|---|
| Authors: | Chetana, V. Lakshmi ; Seetha, Hari |
| Published in: |
Journal of information & knowledge management : JIKM. - Singapore : World Scientific Publ., ISSN 0219-6492, ZDB-ID 2115864-2. - Vol. 23.2024, 3, Art.-No. 2450021, p. 1-37
|
| Subject: | Auto-encoder | clustering | collaborative filtering | elbow method | expectation-maximization | Gaussian mixture model | Hadoop | MapReduce | recommendation systems | scalability | sparsity | Personalisierung | Personalization | Electronic Commerce | E-commerce | Clusteranalyse | Cluster analysis | Algorithmus | Algorithm |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1142/S0219649224500217 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014575739