• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
David Dale
Mechanism of Manipulation-Resistant Recommender System
Bachelor’s programme
2014
Recommender system is an algorithm that uses preferences of its target user (expressed in form of ratings given to some items) and other users to predict how the target user would rate other items and recommend some of them. Some users may be interested in affecting performance of a recommender system by creating multiple artificial accounts in it. Information about social ties (trust) between users may be used for limiting influence of such attacks. The current work discusses the potential of application of trust in recommender systems and explores the properties of different trust metrics that allow collecting sufficiently large samples of user profiles which at the same time contain small number of artificial profiles created by the manipulator. Performance of algorithms that generate trust metrics has been modelled on random graphs and the trust network of Epinions recommender system.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses