Social media outlets such as Twitter have become an important forum for peer interaction. Thus the ability to classify latent user attributes, including gender, age, regional origin, and political orientation solely from Twitter user language or similar highly informal content has important

Building a Facebook application to investigate how people tag pictures Victor Hartanto Wibisono (U4644427)

develop a new cryptosystem for fine-grained sharing of encrypted data that we call Key-Policy Attribute-Based Encryption (KP-ABE). In our cryptosystem, ciphertexts are labeled with sets of attributes and private keys are associated with access structures that control which ciphertexts a user is able

User attribute prediction from social media text has proven successful and useful for downstream tasks. In previous studies, differences in user trait language use have been limited primarily to the presence or absence of words that indicate topical preferences. In this study, we aim to find

, recommender systems are based on one of two strategies. The content filtering approach creates a profile for each user or product to characterize its nature. For example, a movie profile could include attributes regarding its genre, the participating actors, its box office popularity, and so forth. User

in more complex non-procedural data analysis programs. The cube operator treats each of the N aggregation attributes as a dimension of N-space. The aggregate of a particular set of attribute values is a point in this space. The set of points forms an N-dimensional cube. Super-aggregates are computed

We used a Wizard-of-Oz paradigm to study effects of message style on dialog and on people's mental models of computer agents. People made airline reservations using a simulated reservation agent from which they received one of three message styles: Telegraphic, Fluent, or Anthropomorphic. The agent accepted any kind of language or command input people typed. When people took the initiative, they tended to model their inputs on the computer's messages. They expended more effort in the Anthropomorphic than in the Fluent or Telegraphic conditions. We found no evidence that natural language messages caused higher expectations of intelligence than telegraphic messages.

middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service. Two

. This result provides evidence validating the cluster hypothesis which states that relevant documents tend to be more similar to each other than to non-relevant documents. We describe a system employing Scatter/Gather and demonstrate that users are able to use this system close to its full potential. 1

on the ratings of the most similar users, commonly referred to as neighbors, the algorithms compute recommendations for the target user. They only consider the ratings information. User attribute information associated with a user's personality and item attribute information associated with an item