Long term and short-term user preference learning for next POI recommendation

By: Material type: TextTextPublication details: Lahore 2022 (Unpublished)Description: xiii,48 p. : ill. ; 30 cm. + CDSubject(s): DDC classification:
  • 005.1 SHA
Dissertation note: Thesis (MS)--Riphah International University,2022
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Item type Current library Call number Status Date due Barcode
Thesis Thesis 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

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