Global and per-user filtering approaches
Measuring Global Internet Filtering
... misleading unless we were able to effectively measure the relative importance of each Web site. For example, the blocking of BBC or Wikipedia represents far more than the block- ing of a less prominent Web site. ...
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Reviewing Cluster Based Collaborative Filtering Approaches
... FCME by 1.0 ~ 6.1% and the item-based method by 2.7 ~ 6.9%. An improved FCM algorithm is presented in [11] who strengths item clustering by injecting FP-Tree approach to it. The reason of using FP-Tree ap- proach is to ...
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Scalable Filtering Approaches for Recommendation Systems in E-Commerce
... information filtering. Among the various types of information filtering that have been proposed, the techniques fall into two categories: content-based filtering and collaborative ...information ...
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A review of Content and Collaborative filtering approaches on Movielens Data
... Figure 3: Hybrid Approach with Genetic Algorithm 5. CONCLUSION Recommender systems are a powerful new technology for extracting additional value for a business from its user databases. These systems help users ...
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Scalable Collaborative Filtering Approaches for Large Recommender Systems
... collaborative filtering (CF) using known user ratings of items has proved to be effective for predicting user preferences in item ...CF approaches are usually designed to work on very large ...
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Combining Global and Personal Anti-Spam Filtering
... We can get a better idea of the potential of personally- trained classifiers by limiting our evaluation to users with sufficient data. Figure 2 shows the same compar- ison applied to the four highest ranked users from ...
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Personal Spam Filtering with Minimal User Interaction
... popular semi-supervised learning methods are self-training, co-training, transductive Support Vector Machines, and graph-based methods. Zhe offers a complete survey of semi-supervised methods and their applications ...
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Filtering Spam in the Presence of Noisy User Feedback
... spam filtering methods has not been pre- viously explored in the ...pa- per, we show that noisy feedback may harm or even break state-of-the-art spam filters, in- cluding recent TREC ...several ...
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Context-aware movie recommendations: An empirical comparison of pre-filtering, post-filtering and contextual modeling approaches
... different approaches, in order to determine which of them outperform the others, and under what ...modeling approaches on the movie recommendation ...a user study where participants were asked to ...
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Controlled particle systems for nonlinear filtering and global optimization
... the global optimizer. Examples include (i) parametric approaches such as the cross-entropy (CE) [ 150 ], the model reference adaptive search (MRAS) [ 76 ], and the model-based evolutionary optimization ...
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Learning Explainable User Sentiment and Preferences for Information Filtering
... of user comments which are never accompanied by ...existing approaches which make use of reviews composed of ratings and text have a high adaptation cost to a new domain if no ground-truth ratings are ...
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Probabilistic partial user model similarity for collaborative filtering
... 4.1 Dataset We created a movie dataset that consists of user ratings and movie descriptions. We used the Netflix-Prize dataset [4] that originally consists of 17 000 movies, 480 189 users and 100 480 507 ratings ...
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Two Approaches on Implementation of CBR and CRM Technologies to the Spam Filtering Problem
... Efficiently usage of collected data; Automation of process. In this paper we consider CRM theory as a manage- ment of relation between customers and their choices. By learning relevant information about the customers ...
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Recommending Web Pages using Item-based Collaborative Filtering Approaches
... of approaches and techniques have dealt with the problem of design- ing websites to improve the users’ ...each user to offer him/her a personalized list of suggested ...
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Access Denied The Practice & Policy of Global Internet Filtering PDF
... 300 per- cent between 2003 and ...measuring global cybercime ...effective global mechanism to contain or police ...a global distribution network of pirated DVDs and ...
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Content Based Message Filtering System for OSN User Walls
... III. ALGORITHM The overall short text classification strategy on back propagation networks A back propagation network is a synthetic neural network that uses back propagation functions as activation functions. The output ...
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per concurrent user - OnDemand per managed server per named user - OnDemand
... concurrent user - OnDemand A subscription is required for the maximum number of individual employees or contractors of Customer to whom simultaneous access has been granted to the Service on a computer or multiple ...
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Artificial Intelligence Approaches for Filtering of Spams
... Z hľadiska zvýšenia samotnej úspešnosti klasifikácie je to dôleţité preto, ţe existujú slová, ktoré sa vyskytovali len malom počte správ z mnoţiny určenej na učenie alebo ich počet v[r] ...
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Filtering Approaches in Medical Image Processing: A Tutorial
... 8. Recommendations It is highly recommended that images should be preprocessed for the removal of artifacts before any other method for image analysis may be applied. It is possible that theoretical models and ...
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Metric of the Month: Tickets per User per Month
... Tickets per User per Month By Jeff Rumburg Every month, in the Industry Insider, I highlight one key performance indicator (KPI) for the service desk or desktop ...
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