HUNG CHAU's blog

David Carmel et al. - IBM Research Lab in Haifa, Israel ( CIKM-2009 ) http://dl.acm.org/citation.cfm?doid=1645953.1646109 Personalizing the search process considers the searcher’s personal attributes & preferences so that the system is able to, for example, do personalized query expansion, re-rank the result list or filter presented information. However, few studies consider the preferences of the user’s related people in social network which can be utilized to enrich the user’s preferences. In the paper “Personalized Social Search Based on the User’s Social Network”, Carmel et al. presents a study that leverages both aforementioned information resources to improve social search, which is the search process over “social” data (e.g., documents or people) gathered from Web 2.0 applications. Particularly, they plan to re-rank search results by considering the relationships with other users in the searcher’s social network (SN). Firstly, Carmel et al. build user profiles from t...

Cailing Dong, Hongxia Jin , and Bart P. Knijnenburg ( AAAI-15 ) http://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/viewFile/10554/10492 People often share personal details about themselves and even share their current activity and/or real-time location. All this public sharing of personal and sometimes private information may increase security risks, or lead to threats to one’s personal reputation. Although, users are aware of those issues, a trade-off between the benefit of social interaction and potential risk of information sharing decisions is difficult for users to make. In this paper, Dong et al. present an investigation about the psychological and contextual factors that affect users’ privacy decision-making practices, and then use the most important features w.r.t these factors to build a model that is able to predict users’ disclosure behavior on Online Social Networks (OSN). The prediction result can be used to give users personalized advice on making privacy decision...