C
Christina Aperjis
Researcher at Hewlett-Packard
Publications - 45
Citations - 578
Christina Aperjis is an academic researcher from Hewlett-Packard. The author has contributed to research in topics: Pareto efficiency & Pareto principle. The author has an hindex of 13, co-authored 45 publications receiving 554 citations. Previous affiliations of Christina Aperjis include Stanford University.
Papers
More filters
Proceedings ArticleDOI
Peer-assisted content distribution with prices
TL;DR: The efficiency and robustness gains of price-based multilateral exchange are discussed, and it is shown that simply maintaining a single price per peer (even across multiple files) suffices to achieve these benefits.
Journal ArticleDOI
A Market for Unbiased Private Data: Paying Individuals According to their Privacy Attitudes
TL;DR: In this paper, the authors introduce a realistic market that would allow these payments to be made while taking into account the privacy attitude of the participants, and examine the properties that such a market should have and suggest a mechanism that compensates those individuals that participate according to their risk attitudes.
Proceedings ArticleDOI
A peer-to-peer system as an exchange economy
Christina Aperjis,Ramesh Johari +1 more
TL;DR: In this paper, a peer-to-peer system for filesharing as an exchange economy is formulated, where a price is associated with each file, and users exchange files only when they can afford it.
Journal ArticleDOI
Optimal Windows for Aggregating Ratings in Electronic Marketplaces
Christina Aperjis,Ramesh Johari +1 more
TL;DR: It is shown that mechanisms that use information from a larger number of past transactions tend to provide incentives for patient seller to be more truthful but for higher-quality sellers to be less truthful.
Posted Content
Collective Attention and the Dynamics of Group Deals
TL;DR: It is found that Groupon deals are easier to predict accurately earlier in the deal lifecycle than LivingSocial deals due to the total number of deal purchases saturating quicker.