Long term and short-term user preference learning for next POI recommendation
Material type:
TextPublication details: Lahore 2022 (Unpublished)Description: xiii,48 p. : ill. ; 30 cm. + CDSubject(s): DDC classification: - 005.1 SHA
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
Thesis
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Lahore Raiwind Campus | 005.1 SHA (Browse shelf(Opens below)) | NOT for LOAN | 59558 |
Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science at Faculty of Computing.
Includes bibliographic references.
Thesis Supervisor: Muhammad Adnan Khan
Thesis (MS)--Riphah International University,2022
English language
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