Skip to main content
Erschienen in: Mobile Networks and Applications 6/2017

25.04.2017

TempoRec: Temporal-Topic Based Recommender for Social Network Services

verfasst von: Yin Zhang, Zhixiao Tu, Qian Wang

Erschienen in: Mobile Networks and Applications | Ausgabe 6/2017

Einloggen

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

With the popularization of social networks, increasing numbers of users choose to use Weibo to get information. However, as the number of users grows, the information on Weibo is also multiplying, making it increasingly difficult for users to find the right information they are interested in. Therefore, how to recommend high-quality friends to follow the Weibo is one of the focuses of studies in Weibo-based personalized services. Based on existing Weibo social networking topologies and content-based hybrid recommendation algorithms, the study proposed a hybrid recommendation algorithm based on social relations and time-sequenced topics, which has been verified using Real Sina Weibo datasets. The results show that the improved hybrid recommendation algorithm works well and achieves better mean average precision (MAP) than existing other counterparts.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Weitere Produktempfehlungen anzeigen
Literatur
1.
Zurück zum Zitat Fortino G, Garro A, Russo W (2008) Achieving mobile agent systems interoperability through software layering. Inf Softw Technol 50(4):322–341CrossRef Fortino G, Garro A, Russo W (2008) Achieving mobile agent systems interoperability through software layering. Inf Softw Technol 50(4):322–341CrossRef
2.
Zurück zum Zitat Fortino G, Russo W (2008) Using p2p, grid and agent technologies for the development of content distribution networks. Futur Gener Comput Syst 24(3):180–190CrossRef Fortino G, Russo W (2008) Using p2p, grid and agent technologies for the development of content distribution networks. Futur Gener Comput Syst 24(3):180–190CrossRef
3.
Zurück zum Zitat Di Fatta G, Blasa F, Cafiero S, Fortino G (2013) Fault tolerant decentralised k-means clustering for asynchronous large-scale networks. J Parallel Distrib Comput 73(3):317–329CrossRef Di Fatta G, Blasa F, Cafiero S, Fortino G (2013) Fault tolerant decentralised k-means clustering for asynchronous large-scale networks. J Parallel Distrib Comput 73(3):317–329CrossRef
4.
Zurück zum Zitat Wang Z, Tan Y, Zhang M (2010) Graph-based recommendation on social networks. In: 2010 12th International Asia-Pacific on web conference (APWEB). IEEE, pp 116–122 Wang Z, Tan Y, Zhang M (2010) Graph-based recommendation on social networks. In: 2010 12th International Asia-Pacific on web conference (APWEB). IEEE, pp 116–122
5.
Zurück zum Zitat Naruchitparames J, Güneṡ MH, Louis SJ (2011) Friend recommendations in social networks using genetic algorithms and network topology. In: 2011 IEEE congress of evolutionary computation (CEC). IEEE, pp 2207–2214 Naruchitparames J, Güneṡ MH, Louis SJ (2011) Friend recommendations in social networks using genetic algorithms and network topology. In: 2011 IEEE congress of evolutionary computation (CEC). IEEE, pp 2207–2214
6.
Zurück zum Zitat Akbari F, Tajfar A H, Nejad AF (2013) Graph-based friend recommendation in social networks using artificial bee colony. In: 2013 IEEE 11th international conference on dependable, autonomic and secure computing (DASC). IEEE, pp 464–468 Akbari F, Tajfar A H, Nejad AF (2013) Graph-based friend recommendation in social networks using artificial bee colony. In: 2013 IEEE 11th international conference on dependable, autonomic and secure computing (DASC). IEEE, pp 464–468
7.
Zurück zum Zitat Wu W, Zhang B, Ostendorf M (2010) Automatic generation of personalized annotation tags for twitter users. In: Human language technologies: the 2010 annual conference of the North American chapter of the association for computational linguistics. Association for Computational Linguistics, pp 689–692 Wu W, Zhang B, Ostendorf M (2010) Automatic generation of personalized annotation tags for twitter users. In: Human language technologies: the 2010 annual conference of the North American chapter of the association for computational linguistics. Association for Computational Linguistics, pp 689–692
8.
Zurück zum Zitat Tang J, Fang Z, Sun J (2015) Incorporating social context and domain knowledge for entity recognition. In: Proceedings of the 24th international conference on World Wide Web. ACM, pp 517–526 Tang J, Fang Z, Sun J (2015) Incorporating social context and domain knowledge for entity recognition. In: Proceedings of the 24th international conference on World Wide Web. ACM, pp 517–526
9.
Zurück zum Zitat Chen J, Geyer W, Dugan C, Muller M, Guy I (2009) Make new friends, but keep the old: recommending people on social networking sites. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 201–210 Chen J, Geyer W, Dugan C, Muller M, Guy I (2009) Make new friends, but keep the old: recommending people on social networking sites. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 201–210
10.
Zurück zum Zitat Agarwal V, Bharadwaj K (2013) A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity. Soc Netw Anal Min 3(3):359–379CrossRef Agarwal V, Bharadwaj K (2013) A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity. Soc Netw Anal Min 3(3):359–379CrossRef
11.
Zurück zum Zitat Chen T, Tang L, Liu Q, Yang D, Xie S, Cao X, Wu C, Yao E, Liu Z, Jiang Z et al (2012) Combining factorization model and additive forest for collaborative followee recommendation. In: KDD CUP Chen T, Tang L, Liu Q, Yang D, Xie S, Cao X, Wu C, Yao E, Liu Z, Jiang Z et al (2012) Combining factorization model and additive forest for collaborative followee recommendation. In: KDD CUP
12.
Zurück zum Zitat Yu Y, Qiu R G (2014) Followee recommendation in microblog using matrix factorization model with structural regularization. Sci World J 2014: Yu Y, Qiu R G (2014) Followee recommendation in microblog using matrix factorization model with structural regularization. Sci World J 2014:
13.
Zurück zum Zitat Armentano M G, Godoy D, Amandi A (2012) Topology-based recommendation of users in micro-blogging communities. J Comput Sci Technol 27(3):624–634CrossRef Armentano M G, Godoy D, Amandi A (2012) Topology-based recommendation of users in micro-blogging communities. J Comput Sci Technol 27(3):624–634CrossRef
Metadaten
Titel
TempoRec: Temporal-Topic Based Recommender for Social Network Services
verfasst von
Yin Zhang
Zhixiao Tu
Qian Wang
Publikationsdatum
25.04.2017
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 6/2017
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-017-0864-3

Weitere Artikel der Ausgabe 6/2017

Mobile Networks and Applications 6/2017 Zur Ausgabe

Neuer Inhalt