[PDF] Top 20 An Effective Method for Online Social Voting Using Collaborative Filtering Based Recommendation Systems
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An Effective Method for Online Social Voting Using Collaborative Filtering Based Recommendation Systems
... eye social networks, however it's hard to spot social impact impacts in data-based studies9– 13, and it's obscure regardless of whether on-line social networks work inside the same way14– ... See full document
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A Survey on Online Social Voting Using Collaborative Filtering Based Recommendation Systems
... clients and their objectives. Upheld this examination, process creators have various options for the determination of calculation and for it’s implanting at interims the enclosing client encounter. This paper talks about ... See full document
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Various Methods of Using Content-Based Filtering Algorithm for Recommender Systems
... microblogging systems are produced by hundreds of millions of ...public social media by recommending microbloggers to the community on a specific ...top-model filtering, space vector model and TF-IDF ... See full document
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User and Location Based Collaborative Filtering Recommendation in Social Networks
... join social network into NN-based best k ...space based synergistic separating approach (Trust-CF-ULF) to consolidate social network data into top-k ...and social network based ... See full document
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KSRS: Keyword-based Service Recommendation System for Shopping using Map-Reduce on Hadoop for Big Data
... recommender systems are important tools for giving appropriate recommendations to ...d online information is growing rapidly, i t motivates for service recommender ...recommender systems has ... See full document
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Optimized travel recommendation using location based collaborative filtering
... i.e. social networking - based proposal methodologies are powerful and effective, however experiences the notable "time multifaceted nature issue and cost fulfillment" in suggestion ... See full document
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ONLINE BOOK RECOMMENDATION SYSTEM USING ASSOCIATION RULE MINING AND COLLABORATIVE FILTERING
... Recommender systems are one of the most effective and prevalent applications of machine learning tools in ...content-based filtering, collaborative filtering, association rule ... See full document
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User Data Driven Recommendation for Location
... Location recommendation plays a crucial play in serving to users to seek out their interested ...important, social, geographical knowledge, a number of them shown regarding the problems relating to ... See full document
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A Literature Review of Personalized Learning Algorithm
... of Social Sciences the PAAS (Platform as a Service) ...adaptive recommendation system based on current learners’ online behaviors which au- tomatically recommend learning resources ...partner ... See full document
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Collaborative Filtering Based Product Recommendation System for Online Social Networks
... In the era of information technology and the Internet, people are getting very much confused with the huge amount of information, which leads to information overload. In this environment, whether it is information of ... See full document
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User preference tree based personalized online learning managment system
... Content-based Filtering: This strategy uses the features of items for ...items based on the matching of their attributes to the user ...recommender systems also consider attributes of items. ... See full document
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Survey on Collaborative Filtering, Content based Filtering and Hybrid Recommendation System
... Recommender systems are turning out to be a useful tool that will provide suggestion to user according to their ...requirement. Filtering is used to improved recommendation accuracy in the first ... See full document
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Evaluation of Accuracy between Item-Based and Matrix Factorization Recommender System
... of collaborative filtering-based recommender ...an online social information filtering system that uses collaborative filtering to build users profile based ... See full document
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Book Recommendation System using Item Based Collaborative Filtering
... a recommendation on various items on a ...book recommendation system it allows user to maintain a personal ...In recommendation system predictions are made on rating, it can also be done using ... See full document
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Evaluation of Similarity Functions by using User based Collaborative Filtering approach in Recommendation Systems
... recommendations based on the relationship between the queried user and item and the rest of the rating ...regression based methods [10]. The slope-one method [11] fits a linear model to the rating ... See full document
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A Hybrid Generative/Discriminative Approach To Citation Prediction
... although Collaborative Filtering has been used towards citation prediction (McNee et ...features based on the entire content ...citations, based on meta-data features and compressed topic ... See full document
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RECOMMENDATION ALGORITHM: ITEM-BASED COLLABORATIVE FILTERING
... common method is to use the cosine measure we described earlier, in which each vector corresponds to an item rather than a customer, and the vector’s Mdimensions correspond to customers who have purchased that ... See full document
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Experimental Analysis of the Effects of Social Relations on Mobile Application Recommendation
... tive filtering using social relations does not produce the better results on ...the method ‘amp’ with baseline methods takes the first place from the aspect of balanced performance gains, ... See full document
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An Online Secure Social Networking with Friend Discovery System
... semantic based friend suggestion system for social ...of social in their social networking services, it derived their life style activities from user centric data collected from sensors on the ... See full document
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An Integrated Recommendation System using Graph Database and QGIS
... links, social network, network structure and many ...a recommendation system for shopping, where based on shopping behavior of people the shortest path is suggested to ...so based on ... See full document
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