Personalization, socialization, and recommendations in location-based services 2.0

Mohamed F. Mokbel, Jie Bao, Ahmed Eldawy, Justin J. Levandoski, Mohamed Elsayed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

The wide increase of web-based user-generated content and social networking technologies have led to the wide popularity of the term Web 2.0, in which the World Wide Web has moved from being an interface for information retrieval to an interactive medium. Following Web 2.0, a flurry of 2.0s have appeared including Library 2.0, Travel 2.0, Government 2.0, and even Revolution 2.0. In this paper, we present our vision of Location-based Services (LBS) 2.0, where users generate significant location-based content, and have meaningful location-aware interactions with both the system and other users. We address three main aspects of LBS 2.0, namely, personalization, socialization, and recommendations. In terms of personalization, LBS 2.0 looks beyond the use of rigid nearest-neighbor queries to more personalized best-neighbor queries where user preferences and context are taken into account when answering queries. In terms of socialization, LBS 2.0 goes beyond using location information as extra attributes in existing social networks to injecting location-awareness into the core functionality of social networks. For recommendations, LBS 2.0 aims to adapt existing commercially successful recommendation techniques to consider the spatial aspects of users and/or items when making its decisions. Overall, we discuss how the confluence of these topics form our vision of LBS 2.0.

Original languageEnglish (US)
Title of host publicationPersDB 2011 - 5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases; Very Large Data Bases 2011, VLDB 2011
StatePublished - 2011
Externally publishedYes
Event5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases, PersDB 2011 - In Conjunction with Very Large Data Bases, VLDB 2011 - Seattle, WA, United States
Duration: Sep 2 2011Sep 2 2011

Other

Other5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases, PersDB 2011 - In Conjunction with Very Large Data Bases, VLDB 2011
CountryUnited States
CitySeattle, WA
Period9/2/119/2/11

Fingerprint

Location based services
World Wide Web
Information retrieval
Decision making

ASJC Scopus subject areas

  • Software

Cite this

Mokbel, M. F., Bao, J., Eldawy, A., Levandoski, J. J., & Elsayed, M. (2011). Personalization, socialization, and recommendations in location-based services 2.0. In PersDB 2011 - 5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases; Very Large Data Bases 2011, VLDB 2011

Personalization, socialization, and recommendations in location-based services 2.0. / Mokbel, Mohamed F.; Bao, Jie; Eldawy, Ahmed; Levandoski, Justin J.; Elsayed, Mohamed.

PersDB 2011 - 5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases; Very Large Data Bases 2011, VLDB 2011. 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mokbel, MF, Bao, J, Eldawy, A, Levandoski, JJ & Elsayed, M 2011, Personalization, socialization, and recommendations in location-based services 2.0. in PersDB 2011 - 5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases; Very Large Data Bases 2011, VLDB 2011. 5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases, PersDB 2011 - In Conjunction with Very Large Data Bases, VLDB 2011, Seattle, WA, United States, 9/2/11.
Mokbel MF, Bao J, Eldawy A, Levandoski JJ, Elsayed M. Personalization, socialization, and recommendations in location-based services 2.0. In PersDB 2011 - 5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases; Very Large Data Bases 2011, VLDB 2011. 2011
Mokbel, Mohamed F. ; Bao, Jie ; Eldawy, Ahmed ; Levandoski, Justin J. ; Elsayed, Mohamed. / Personalization, socialization, and recommendations in location-based services 2.0. PersDB 2011 - 5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases; Very Large Data Bases 2011, VLDB 2011. 2011.
@inproceedings{4894b1a2a6a84121b2aefa145647b090,
title = "Personalization, socialization, and recommendations in location-based services 2.0",
abstract = "The wide increase of web-based user-generated content and social networking technologies have led to the wide popularity of the term Web 2.0, in which the World Wide Web has moved from being an interface for information retrieval to an interactive medium. Following Web 2.0, a flurry of 2.0s have appeared including Library 2.0, Travel 2.0, Government 2.0, and even Revolution 2.0. In this paper, we present our vision of Location-based Services (LBS) 2.0, where users generate significant location-based content, and have meaningful location-aware interactions with both the system and other users. We address three main aspects of LBS 2.0, namely, personalization, socialization, and recommendations. In terms of personalization, LBS 2.0 looks beyond the use of rigid nearest-neighbor queries to more personalized best-neighbor queries where user preferences and context are taken into account when answering queries. In terms of socialization, LBS 2.0 goes beyond using location information as extra attributes in existing social networks to injecting location-awareness into the core functionality of social networks. For recommendations, LBS 2.0 aims to adapt existing commercially successful recommendation techniques to consider the spatial aspects of users and/or items when making its decisions. Overall, we discuss how the confluence of these topics form our vision of LBS 2.0.",
author = "Mokbel, {Mohamed F.} and Jie Bao and Ahmed Eldawy and Levandoski, {Justin J.} and Mohamed Elsayed",
year = "2011",
language = "English (US)",
booktitle = "PersDB 2011 - 5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases; Very Large Data Bases 2011, VLDB 2011",

}

TY - GEN

T1 - Personalization, socialization, and recommendations in location-based services 2.0

AU - Mokbel, Mohamed F.

AU - Bao, Jie

AU - Eldawy, Ahmed

AU - Levandoski, Justin J.

AU - Elsayed, Mohamed

PY - 2011

Y1 - 2011

N2 - The wide increase of web-based user-generated content and social networking technologies have led to the wide popularity of the term Web 2.0, in which the World Wide Web has moved from being an interface for information retrieval to an interactive medium. Following Web 2.0, a flurry of 2.0s have appeared including Library 2.0, Travel 2.0, Government 2.0, and even Revolution 2.0. In this paper, we present our vision of Location-based Services (LBS) 2.0, where users generate significant location-based content, and have meaningful location-aware interactions with both the system and other users. We address three main aspects of LBS 2.0, namely, personalization, socialization, and recommendations. In terms of personalization, LBS 2.0 looks beyond the use of rigid nearest-neighbor queries to more personalized best-neighbor queries where user preferences and context are taken into account when answering queries. In terms of socialization, LBS 2.0 goes beyond using location information as extra attributes in existing social networks to injecting location-awareness into the core functionality of social networks. For recommendations, LBS 2.0 aims to adapt existing commercially successful recommendation techniques to consider the spatial aspects of users and/or items when making its decisions. Overall, we discuss how the confluence of these topics form our vision of LBS 2.0.

AB - The wide increase of web-based user-generated content and social networking technologies have led to the wide popularity of the term Web 2.0, in which the World Wide Web has moved from being an interface for information retrieval to an interactive medium. Following Web 2.0, a flurry of 2.0s have appeared including Library 2.0, Travel 2.0, Government 2.0, and even Revolution 2.0. In this paper, we present our vision of Location-based Services (LBS) 2.0, where users generate significant location-based content, and have meaningful location-aware interactions with both the system and other users. We address three main aspects of LBS 2.0, namely, personalization, socialization, and recommendations. In terms of personalization, LBS 2.0 looks beyond the use of rigid nearest-neighbor queries to more personalized best-neighbor queries where user preferences and context are taken into account when answering queries. In terms of socialization, LBS 2.0 goes beyond using location information as extra attributes in existing social networks to injecting location-awareness into the core functionality of social networks. For recommendations, LBS 2.0 aims to adapt existing commercially successful recommendation techniques to consider the spatial aspects of users and/or items when making its decisions. Overall, we discuss how the confluence of these topics form our vision of LBS 2.0.

UR - http://www.scopus.com/inward/record.url?scp=84884807577&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884807577&partnerID=8YFLogxK

M3 - Conference contribution

BT - PersDB 2011 - 5th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases; Very Large Data Bases 2011, VLDB 2011

ER -