Desert 发表于 2025-3-28 14:48:48
Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation,e open nature of such systems and their reliance on user-specified judgments for building profiles. Attackers can easily introduce biased data in an attempt to force the system to “adapt” in a manner advantageous to them. Our research in secure personalization is examining a range of attack models,排名真古怪 发表于 2025-3-28 20:44:35
Adaptive Web Usage Profiling,mendation of pages, pre-fetching of pages, etc. While browsing behavior changes dynamically over time, many web usage modeling techniques are static due to prohibitive model compilation times and also lack of fast incremental update mechanism. However, profiles have to be maintained so that they dynAntecedent 发表于 2025-3-29 02:34:36
http://reply.papertrans.cn/16/1502/150175/150175_43.pngTractable 发表于 2025-3-29 03:59:31
Personalized Search Results with User Interest Hierarchies Learnt from Bookmarks,ly designed to serve all users, without considering the interests of individual users. We propose a method to (re)rank the results from a search engine using a learned user profile, called a user interest hierarchy (UIH), from web pages that are of interest to the user. The user’s interest in web paConclave 发表于 2025-3-29 09:35:48
http://reply.papertrans.cn/16/1502/150175/150175_45.png