Cheema et al., 2024 - Google Patents
KT-CDULF: Knowledge Transfer in Context-Aware Cross-Domain Recommender Systems via Latent User ProfilingCheema et al., 2024
View PDF- Document ID
- 12227133031761833577
- Author
- Cheema A
- Sarfraz M
- Usman M
- Zaman Q
- Habib U
- Boonchieng E
- Publication year
- Publication venue
- IEEE Access
External Links
Snippet
Recommender systems are crucial in today's digital world, by enhancing user engagement experience in digital ecosystems. Internet of things (IoT) have huge potential to generate dynamic and real time data. The data generated through IoT are being utilized to extract …
- 238000012546 transfer 0 title abstract description 39
Classifications
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- G06F17/30023—Querying
- G06F17/30029—Querying by filtering; by personalisation, e.g. querying making use of user profiles
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- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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