A Personalized location-based and serendipity-oriented point of interest recommender assistant based on behavioral patterns

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

The technological evolutions have promoted mobile devices from rudimentary communication facilities to advanced personal assistants. According to the huge amount of accessible data, developing a time-saving and cost-effective method for location-based recommendations in mobile devices has been considered a challenging issue. This paper contributes a state-of-the-art solution for a personalized recommender assistant which suggests both accurate and unexpected point of interests (POIs) to users in each part of the day of the week based on their previously monitored, daily behavioral patterns. The presented approach consists of two steps of extracting the behavioral patterns from users’ trajectories and location-based recommendation based on the discovered patterns and user’s ratings. The behavioral pattern of the user includes their activity types in different parts of the day of the week, which is monitored via a combination of a stay point detection algorithm and an association rule mining (ARM) method. Having the behavioral patterns, the system exploits two recommendation procedures based on conventional collaborative filtering and K-furthest neighborhood model to recommend typical and serendipitous POIs to the users. The suggested POI list contains not only relevant and precise POIs but also unpredictable and surprising items to the users. To evaluate the system, the values of RMSE of each procedure were computed and compared. Conducted experiments proved the feasibility of the proposed solution.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • K. N. Toosi University of Technology
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Annan data- och informationsvetenskap
  • Naturgeografi

Nyckelord

Originalspråkengelska
Titel på värdpublikationGeospatial Technologies for All
Undertitel på gästpublikationSelected Papers of the 21st AGILE Conference on Geographic Information Science
RedaktörerAli Mansourian , Petter Pilesjö, Lars Harrie, Ron van Lammeren
UtgivningsortCham
FörlagSpringer International Publishing
Sidor271-289
Antal sidor19
Volympart F3
ISBN (elektroniskt)978-3-319-78208-9
ISBN (tryckt)9783319782072
StatusPublished - 2018 jan 1
PublikationskategoriForskning
Peer review utfördJa
Evenemang21st AGILE Conference on Geographic Information Science, 2018 - Lund, Sverige
Varaktighet: 2018 jun 122018 jun 15

Publikationsserier

NamnLecture Notes in Geoinformation and Cartography
Volympart F3
ISSN (tryckt)1863-2246
ISSN (elektroniskt)1863-2351

Konferens

Konferens21st AGILE Conference on Geographic Information Science, 2018
LandSverige
OrtLund
Period2018/06/122018/06/15

Relaterad forskningsoutput

A Mansourian (red.), Petter Pilesjö (red.), Lars Harrie (red.) & van Lammeren, R. (red.), 2018, Cham: Springer International Publishing. 382 s. (Lecture Notes in Geoinformation and Cartography)

Forskningsoutput: Bok/rapportKonferensproceeding (redaktör)

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