A brief survey of computational approaches in social computing
Web 2.0 technologies have brought new ways of connecting people in social networks for
collaboration in various on-line communities. Social Computing is a novel and emerging …
collaboration in various on-line communities. Social Computing is a novel and emerging …
Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised
dimension reduction by employing a simple but effective linear regression function to map …
dimension reduction by employing a simple but effective linear regression function to map …
Exploiting social context for review quality prediction
Y Lu, P Tsaparas, A Ntoulas, L Polanyi - Proceedings of the 19th …, 2010 - dl.acm.org
Online reviews in which users publish detailed commentary about their experiences and
opinions with products, services, or events are extremely valuable to users who rely on them …
opinions with products, services, or events are extremely valuable to users who rely on them …
Adversarial web search
C Castillo, BD Davison - Foundations and trends® in …, 2011 - nowpublishers.com
Web search engines have become indispensable tools for finding content. As the popularity
of the Web has increased, the efforts to exploit the Web for commercial, social, or political …
of the Web has increased, the efforts to exploit the Web for commercial, social, or political …
Competitive search
O Kurland, M Tennenholtz - Proceedings of the 45th International ACM …, 2022 - dl.acm.org
The Web is a canonical example of a competitive search setting that includes document
authors with ranking incentives: their goal is to promote their documents in rankings induced …
authors with ranking incentives: their goal is to promote their documents in rankings induced …
Detecting fake medical web sites using recursive trust labeling
Fake medical Web sites have become increasingly prevalent. Consequently, much of the
health-related information and advice available online is inaccurate and/or misleading …
health-related information and advice available online is inaccurate and/or misleading …
A machine learning based web spam filtering approach
Web spam has the effect of polluting search engine results and decreasing the usefulness of
search engines. Web spam can be classified according to the methods used to raise the …
search engines. Web spam can be classified according to the methods used to raise the …
Classifier cascade for minimizing feature evaluation cost
Abstract Machine learning algorithms are increasingly used in large-scale industrial settings.
Here, the operational cost during test-time has to be taken into account when an algorithm is …
Here, the operational cost during test-time has to be taken into account when an algorithm is …
Cognitive spammer: a framework for pagerank analysis with split by over-sampling and train by under-fitting
From the past few years, there is an exponential increase in one of the most popular
technologies of the modern era called as Internet of Things (IoT). In IoT, various objects …
technologies of the modern era called as Internet of Things (IoT). In IoT, various objects …
Web spam detection: new classification features based on qualified link analysis and language models
L Araujo, J Martinez-Romo - IEEE Transactions on Information …, 2010 - ieeexplore.ieee.org
Web spam is a serious problem for search engines because the quality of their results can
be severely degraded by the presence of this kind of page. In this paper, we present an …
be severely degraded by the presence of this kind of page. In this paper, we present an …