Abstract

Recommender systems play an important role in helping online users find relevant information by suggesting information of potential interest to them. Due to the potential value of social relations in recommender systems, social recommendation has attracted increasing attention in recent years. In this paper, we present a review of existing recommender systems and discuss some research directions. We begin by giving formal definitions of social recommendation and discuss the unique property of social recommendation and its implications compared with those of traditional recommender systems. Then, we classify existing social recommender systems into memory-based social recommender systems and model-based social recommender systems, according to the basic models adopted to build the systems, and review representative systems for each category. We also present some key findings from both positive and negative experiences in building social recommender systems, and research directions to improve social recommendation capabilities.

Original languageEnglish (US)
Pages (from-to)1113-1133
Number of pages21
JournalSocial Network Analysis and Mining
Volume3
Issue number4
DOIs
StatePublished - Jan 1 2013

Fingerprint

Recommender systems
social system
social research
Social Relations
experience
Data storage equipment

Keywords

  • Recommender systems
  • Social media
  • Social network analysis
  • Social recommendation
  • Social recommender systems

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Information Systems
  • Communication
  • Media Technology

Cite this

Social recommendation : a review. / Tang, Jiliang; Hu, Xia; Liu, Huan.

In: Social Network Analysis and Mining, Vol. 3, No. 4, 01.01.2013, p. 1113-1133.

Research output: Contribution to journalArticle

Tang, Jiliang ; Hu, Xia ; Liu, Huan. / Social recommendation : a review. In: Social Network Analysis and Mining. 2013 ; Vol. 3, No. 4. pp. 1113-1133.
@article{272f266581f14ea7a0987d675bedb476,
title = "Social recommendation: a review",
abstract = "Recommender systems play an important role in helping online users find relevant information by suggesting information of potential interest to them. Due to the potential value of social relations in recommender systems, social recommendation has attracted increasing attention in recent years. In this paper, we present a review of existing recommender systems and discuss some research directions. We begin by giving formal definitions of social recommendation and discuss the unique property of social recommendation and its implications compared with those of traditional recommender systems. Then, we classify existing social recommender systems into memory-based social recommender systems and model-based social recommender systems, according to the basic models adopted to build the systems, and review representative systems for each category. We also present some key findings from both positive and negative experiences in building social recommender systems, and research directions to improve social recommendation capabilities.",
keywords = "Recommender systems, Social media, Social network analysis, Social recommendation, Social recommender systems",
author = "Jiliang Tang and Xia Hu and Huan Liu",
year = "2013",
month = "1",
day = "1",
doi = "10.1007/s13278-013-0141-9",
language = "English (US)",
volume = "3",
pages = "1113--1133",
journal = "Social Network Analysis and Mining",
issn = "1869-5450",
publisher = "Springer Wien",
number = "4",

}

TY - JOUR

T1 - Social recommendation

T2 - a review

AU - Tang, Jiliang

AU - Hu, Xia

AU - Liu, Huan

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Recommender systems play an important role in helping online users find relevant information by suggesting information of potential interest to them. Due to the potential value of social relations in recommender systems, social recommendation has attracted increasing attention in recent years. In this paper, we present a review of existing recommender systems and discuss some research directions. We begin by giving formal definitions of social recommendation and discuss the unique property of social recommendation and its implications compared with those of traditional recommender systems. Then, we classify existing social recommender systems into memory-based social recommender systems and model-based social recommender systems, according to the basic models adopted to build the systems, and review representative systems for each category. We also present some key findings from both positive and negative experiences in building social recommender systems, and research directions to improve social recommendation capabilities.

AB - Recommender systems play an important role in helping online users find relevant information by suggesting information of potential interest to them. Due to the potential value of social relations in recommender systems, social recommendation has attracted increasing attention in recent years. In this paper, we present a review of existing recommender systems and discuss some research directions. We begin by giving formal definitions of social recommendation and discuss the unique property of social recommendation and its implications compared with those of traditional recommender systems. Then, we classify existing social recommender systems into memory-based social recommender systems and model-based social recommender systems, according to the basic models adopted to build the systems, and review representative systems for each category. We also present some key findings from both positive and negative experiences in building social recommender systems, and research directions to improve social recommendation capabilities.

KW - Recommender systems

KW - Social media

KW - Social network analysis

KW - Social recommendation

KW - Social recommender systems

UR - http://www.scopus.com/inward/record.url?scp=84906482164&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84906482164&partnerID=8YFLogxK

U2 - 10.1007/s13278-013-0141-9

DO - 10.1007/s13278-013-0141-9

M3 - Article

AN - SCOPUS:84906482164

VL - 3

SP - 1113

EP - 1133

JO - Social Network Analysis and Mining

JF - Social Network Analysis and Mining

SN - 1869-5450

IS - 4

ER -