Actively learning to infer social ties
نویسندگان
چکیده
منابع مشابه
Learning to Infer Social Ties in Large Networks
In online social networks, most relationships are lack of meaning labels (e.g., “colleague” and “intimate friends”), simply because users do not take the time to label them. An interesting question is: can we automatically infer the type of social relationships in a large network? what are the fundamental factors that imply the type of social relationships? In this work, we formalize the proble...
متن کاملActively Learning to Plan
The learning protocol I have in mind to start with at this point is the following. The algorithm has access to a black box simulator S, which takes as input a state s and an action a and outputs a new state s ′. Additionally, if given the " null " state as input, it will output an initial state. The algorithm is given as input a constant k. The interaction takes place as follows. The algorithm ...
متن کاملwillingness to communicate in the iranian context: language learning orientation and social support
why some learners are willing to communicate in english, concurrently others are not, has been an intensive investigation in l2 education. willingness to communicate (wtc) proposed as initiating to communicate while given a choice has recently played a crucial role in l2 learning. it was hypothesized that wtc would be associated with language learning orientations (llos) as well as social suppo...
Fleeting Social Ties
Fleeting Social Ties addresses the need for real time locationbased services for gaining a local’s perspective about a particular city. Tourist guides are often clichéd and do not address the genuine business traveler’s or vacationer’s desire to experience local and authentic culture as individuals native to that location. This application seeks to bridge this gap by creating fleeting social ti...
متن کاملActively Learning to Attract Followers on Twitter
Twitter, a popular social network, presents great opportunities for on-line machine learning research. However, previous research has focused almost entirely on learning from passively collected data. We study the problem of learning to acquire followers through normative user behavior, as opposed to the mass following policies applied by many bots. We formalize the problem as a contextual band...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Data Mining and Knowledge Discovery
سال: 2012
ISSN: 1384-5810,1573-756X
DOI: 10.1007/s10618-012-0274-x