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- 324 creator matthew-richardson.
- 324 creator parag-singla.
- 324 type InProceedings.
- 324 label "Yes, There is a Correlation - From Social Networks to Personal Behavior on the Web".
- 324 sameAs 324.
- 324 abstract "Characterizing the relationship that exists between a person's social group and his/her personal behavior has been a long standing goal of social network analysts. In this paper, we apply data mining techniques to study this relationship for a population of over 10 million people, by turning to online sources of data. The analysis reveals that people who chat with each other (using instant messaging) are more likely to share interests (their Web searches are the same or topically similar). The more time they spend talking, the stronger this relationship is. People who chat with each other are also more likely to share other personal characteristics, such as their age and location (and, they are likely to be of opposite gender). Similar findings hold for people who do not necessarily talk to each other but do have a friend in common. Our analysis is based on a well-defined mathematical formulation of the problem, and is the largest such study we are aware of.".
- 324 hasAuthorList authorList.
- 324 hasTopic World_Wide_Web.
- 324 isPartOf proceedings.
- 324 keyword "Demographics".
- 324 keyword "Instant Messaging".
- 324 keyword "Search".
- 324 keyword "Social Networks".
- 324 title "Yes, There is a Correlation - From Social Networks to Personal Behavior on the Web".
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- 332 creator frederik-de-keukelaere.
- 332 creator michael-steiner.
- 332 creator sachiko-yoshihama.
- 332 creator sumeer-bhola.
- 332 creator suresh-chari.
- 332 type InProceedings.
- 332 label "SMash: Secure Component Model for Cross-Domain Mashups on Unmodified Browsers".
- 332 sameAs 332.
- 332 abstract "Mashup applications mix and merge content (data and code) from multiple content providers in a user's browser, to provide high-value web applications that can rival the user experience provided by desktop applications. Current browser security models were not designed to support such applications and they are therefore implemented with insecure workarounds. In this paper, we present a secure component model, where components are provided by different trust domains, and can interact using a communication abstraction that allows ease of specification of a security policy. We have developed an implementation of this model that works currently in all major browsers, and addresses challenges of communication integrity and frame-phishing. An evaluation of the performance of our implementation shows that this approach is not just feasible but also practical.".
- 332 hasAuthorList authorList.
- 332 hasTopic World_Wide_Web.
- 332 isPartOf proceedings.
- 332 keyword "Web 2.0".
- 332 keyword "component model".
- 332 keyword "isolation".
- 332 keyword "phishing".
- 332 keyword "security".
- 332 title "SMash: Secure Component Model for Cross-Domain Mashups on Unmodified Browsers".
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- 333 creator conglei-yao.
- 333 creator sicong-shou.
- 333 creator xiaoming-li.
- 333 creator yongjian-yu.
- 333 type InProceedings.
- 333 label "Towards a Global Schema for Web Entities".
- 333 sameAs 333.
- 333 abstract "Popular entities often have thousands of instances on the Web. In this paper, we focus on the case where they are presented in table-like format, namely appearing with their attribute names. It is observed that, on one hand, for the same entity, different Web pages often incorporate different attributes; on the other, for the same attribute, different Web pages often use different attribute names (labels). Therefore, it is imaginably difficult to produce a global attribute schema for all the Web entities of a given entity type based on their Web instances, although the global attribute schema is usually highly desired in Web entity instances integration and Web object extraction. To this end, we propose a novel framework of automatically learning a global attribute schema for all Web entities of one specific entity type. Under this framework, an iterative instances extraction procedure is first employed to extract sufficient Web entity instances to discover enough attribute labels. Next, based on the labels, entity instances, and related Web pages, a maximum entropy-based schema discovery approach is adopted to learn the global attribute schema for the target entity type. Experimental results on Chinese Web achieve average weighted Fscores of 0.7122 and 0.7123 on two global attribute schemas for person-type and movie-type Web entities, respectively. These results show that our framework is general, efficient and effective.".
- 333 hasAuthorList authorList.
- 333 hasTopic World_Wide_Web.
- 333 isPartOf proceedings.
- 333 keyword "Attribute Labels".
- 333 keyword "Entity Instances".
- 333 keyword "Global Attribute Schema".
- 333 keyword "Web Entities".
- 333 title "Towards a Global Schema for Web Entities".
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