2012
DOI: 10.3745/jips.2012.8.2.191
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An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators

Abstract: Abstract-Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typically involves non-stationary distributions. The consequent time varying nature of the distribution to be tra… Show more

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Cited by 26 publications
(20 citation statements)
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“…Over the past 10 years, advances in wireless networks, sensor technology, and mobile devices have contributed to the development of this innovative teaching model [16]. Innovations in technology now allow students to learn in real world environments with the digital devices providing personalized instruction [17]. Such a learning mode has several advantages as follows [11] and listed in Table 1. (i) Easy access to new knowledge and sharing information: using mobile devices, students access the desired information or knowledge anytime and anyplace [15].…”
Section: Ubiquitous Learning Rfid/wirelessmentioning
confidence: 99%
“…Over the past 10 years, advances in wireless networks, sensor technology, and mobile devices have contributed to the development of this innovative teaching model [16]. Innovations in technology now allow students to learn in real world environments with the digital devices providing personalized instruction [17]. Such a learning mode has several advantages as follows [11] and listed in Table 1. (i) Easy access to new knowledge and sharing information: using mobile devices, students access the desired information or knowledge anytime and anyplace [15].…”
Section: Ubiquitous Learning Rfid/wirelessmentioning
confidence: 99%
“…This is not sufficient to formulate the real world bidding behavior. So, we will apply the data mining techniques [20,21,22] to find out the practice bidding strategies. Then, we will evaluate the performance of the NDSSA for the advertisers with the obtained bidding strategies.…”
Section: Resultsmentioning
confidence: 99%
“…Channel assignment for cognitive sensor networks has been studied in [16]. Recently, self-organization of distributed agents based upon reinforcement learning (RL) mechanisms [17,18] has been shown to be effective in the literature. Multiagent Q-learning (MAQL) was applied to femtocell networks in [19,20].…”
Section: Related Workmentioning
confidence: 99%