Author image not provided
 Zeinab Abbassi

Add personal information
  Affiliation history
Bibliometrics: publication history
Average citations per article4.27
Citation Count47
Publication count11
Publication years2007-2015
Available for download8
Average downloads per article382.00
Downloads (cumulative)3,056
Downloads (12 Months)291
Downloads (6 Weeks)34
Arrow RightAuthor only

See all colleagues of this author

See all subject areas


11 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 11 of 11
Sort by:

May 2015 WWW '15: Proceedings of the 24th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Citation Count: 4
Downloads (6 Weeks): 15,   Downloads (12 Months): 112,   Downloads (Overall): 631

Full text available: PDFPDF
Advertising is a significant source of revenue for most online social networks. Conventional online advertising methods need to be customized for online social networks in order to address their distinct characteristics. Recent experimental studies have shown that providing social cues along with ads, e.g. information about friends liking the ad ...
Keywords: display ads, online social networks, online advertising, social influence, optimization, social advertising

2 published by ACM
October 2014 ACM Transactions on Internet Technology (TOIT) - Special Issue on Pricing and Incentives in Networks and Systems and Regular Papers: Volume 14 Issue 2-3, October 2014
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 43,   Downloads (Overall): 242

Full text available: PDFPDF
In recent years there has been an explosive growth of digital content in the form of news feeds, videos, and original content on online platforms such as blogs and social networks. Indeed, such platforms have been used as a means of sharing and republishing information, leading to a large collection ...
Keywords: Social networks, budget of attention, content curation, game theory

3 published by ACM
April 2014 ACM SIGMETRICS Performance Evaluation Review: Volume 41 Issue 4, March 2014
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 21,   Downloads (Overall): 90

Full text available: PDFPDF
In recent years there has been an explosive growth of digital content in the form of news feeds, videos, and original content, on online platforms such as blogs and social networks. We consider the problem of curating this vast catalogue of content such that aggregators or publishers can offer readers ...

4 published by ACM
August 2013 KDD '13: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Publisher: ACM
Citation Count: 12
Downloads (6 Weeks): 5,   Downloads (12 Months): 45,   Downloads (Overall): 661

Full text available: PDFPDF
Aggregator websites typically present documents in the form of representative clusters. In order for users to get a broader perspective, it is important to deliver a diversified set of representative documents in those clusters. One approach to diversification is to maximize the average dissimilarity among documents. Another way to capture ...
Keywords: clustering, local search algorithms, approximation algorithms, diversity maximization, matroid constraints

December 2012 SocInfo'12: Proceedings of the 4th international conference on Social Informatics
Publisher: Springer-Verlag
Citation Count: 1

We have conducted three empirical studies of the effects of friend recommendations and general ratings on how online users make choices. We model and quantify how a user deciding between two choices trades off an additional rating star with an additional friend's recommendation when selecting an item. We find that ...

6 published by ACM
March 2011 WWW '11: Proceedings of the 20th international conference companion on World wide web
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 13,   Downloads (Overall): 207

Full text available: PDFPDF
Epidemic outbreaks such as the recent H1N1 influenza show how susceptible large communities are toward the spread of such outbreaks. The occurrence of a widespread disease transmission raises the question of vaccination strategies that are appropriate and close to optimal. The seemingly different problem of viruses disseminating through email networks, ...
Keywords: vaccination, social networks, virus propagation, probabilistic model, SIR

7 published by ACM
October 2009 RecSys '09: Proceedings of the third ACM conference on Recommender systems
Publisher: ACM
Citation Count: 14
Downloads (6 Weeks): 6,   Downloads (12 Months): 34,   Downloads (Overall): 515

Full text available: PDFPDF
We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outside-The-Box (otb) recommendation, which takes some risk to help users make fresh discoveries, while maintaining high relevance. The proposed formalization relies on item ...
Keywords: OTB, outside the box, recommendation, serendipity, diversity

March 2009 ICDE '09: Proceedings of the 2009 IEEE International Conference on Data Engineering
Publisher: IEEE Computer Society
Citation Count: 4

Presently several marketplace applications over online social networks are gaining popularity. An important class of applications is online market exchange of items. Examples include and We model this problem as a social network where each user has two associated lists. The item list consists of items the user ...
Keywords: Online Exchange Markets, Social Networks

February 2009 Advances in Web Mining and Web Usage Analysis: 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers
Publisher: Springer-Verlag
Citation Count: 3

In this paper, we design recommender systems for blogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, we observe the use of the personalized page rank vector to capture the relevance among nodes in a social network. We apply ...

10 published by ACM
April 2008 WWW '08: Proceedings of the 17th international conference on World Wide Web
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 3,   Downloads (Overall): 182

Full text available: PDFPDF
Motivated by several marketplace applications on rapidly growing online social networks, we study the problem of efficient offline matching algorithms for online exchange markets. We consider two main models of one-shot markets and exchange markets over time. For one-shot markets, we study three main variants of the problem: one-to-one exchange ...
Keywords: recommendation algorithms, set packing, edge partitioning, social networks, exchange markets

11 published by ACM
August 2007 WebKDD/SNA-KDD '07: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Publisher: ACM
Citation Count: 5
Downloads (6 Weeks): 1,   Downloads (12 Months): 20,   Downloads (Overall): 528

Full text available: PDFPDF
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, we observe the use of the personalized page rank vector to capture the relevance among nodes in a social network. We apply ...
Keywords: personalized PageRank, social network analysis, RandomWalks, recommender systems, weblogs, spectral methods

The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us