WWW
2008
ACM
14 years 5 months ago
2008
ACM
In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
Due to the rapid growth in the size of the web, web search engines are facing enormous performance challenges. The larger engines in particular have to be able to process tens of ...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
We propose STILL, a signature-free remote exploit binary code injection attack blocker to protect web servers and web applications. STILL is robust to almost all anti-signature, a...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
The term "Web 2.0" is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Existing work shows that...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
We propose a method of classifying XML documents and extracting XML schema from XML by inductive inference based on constraint logic programming. The goal of this work is to type ...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
We propose the SocialTrust framework for tamper-resilient trust establishment in online social networks. Two of the salient features of SocialTrust are its dynamic revision of tru...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
This paper presents a new query recommendation method that generates recommended query list by mining large-scale user logs. Starting from the user logs of click-through data, we ...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
Despite general awareness of the importance of keeping one's system secure, and widespread availability of consumer security technologies, actual investment in security remai...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
We propose a new method to select relevant images to the given keywords from images gathered from the Web based on the Probabilistic Latent Semantic Analysis (PLSA) model which is...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
Seed selection is of significant importance for the biased PageRank algorithms such as TrustRank to combat link spamming. Previous work usually uses a small seed set, which has a ...