Dynamic Multi-Algorithm Collaborative-Filtering System
A dynamic multi-algorithm collaborative-filtering system
... proposed dynamic multi-algorithm collaborative-filtering ...proposed system. In order to prove that the proposed system is able to consider small and huge datasets, the ...
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An Improved Collaborative Filtering Recommendation Algorithm
... This paper focuses on the memory based method. The key of this method is the similarity calculation. Although the traditional recommendation algorithms have make some results, they are incapable of solving the problem of ...
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A Personalized Job Recommended System Using Hybrid Collaborative Filtering Algorithm
... rec-ommendation system based on semantic knowledge and tempo-ral representation by time ...The system is based on two main modules, the temporal-based module and the semantics-based ...
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An Improved Online Book Recommender System using Collaborative Filtering Algorithm
... Recommender System used algorithms to create a prototype of recommendations produced by a community of users to deliver recommendations to an active ...as collaborative-filtering and its aim is to ensure ...
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GENETIC ALGORITHM BASED COLLABORATIVE FILTERING MODEL FOR PERSONALIZED RECOMMENDER SYSTEM
... information filtering systems which provide intelligence by suggesting suitable items according to the interest given by the active ...Genetic algorithm (GA) is method for solving optimization problems ...
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Research on Parameter Optimization in Collaborative Filtering Algorithm
... recommendation system is usually composed of three parts: the recording plate, recording the user’s historical behavior; analysis plate; algo- rithm ...recommendation system, the related re- search of the ...
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RECOMMENDATION ALGORITHM: ITEM-BASED COLLABORATIVE FILTERING
... traditional collaborative filtering systems the amount of work increases with the number of participants in the ...recommender system technologies are needed that can quickly produce high quality ...
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An Improved Collaborative Filtering Algorithm Based on RLPSO
... recommendation system is widely used as a means of making effective use of large data and is followed by the ...people. Collaborative filtering recommendation algorithm cannot avoid the ...
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An Implementation of Content Boosted Collaborative Filtering Algorithm
... the system and the actual evaluation value rated by the ...recommendation system mainly includes statistical precision measurement method it includes to measure the recommendation ...
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Improved algorithm for tag-based collaborative filtering
... a collaborative approach for expanding tag neighbors and investigate the spectral clustering algorithm to filter out noisy tag neighbors in order to get appropriate recommendation for the ...traditional ...
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Rocchio Algorithm to Enhance Semantically Collaborative Filtering
... is multi- valued, s can belong to several clusters C k , while for mono valued attribute, an item should belong only to one ...clustering algorithm should provide non disjointed clusters (a fuzzy ...
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Improved algorithm for tag-based collaborative filtering
... e-learning system that was used in the educational process at the Faculty of Law in ...the system uses tag-based collaborative filtering in order to recommend the most adequate learning ...
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Sparse online collaborative filtering with dynamic regularization
... The RMSE values of all approaches on the three datasets with the number of latent features ranging from 5 to 40 are shown in Figs. 2–6 . Our methods outperformed the other OCF methods, and converged faster than all the ...
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Recommended System for Neighborhoo-Based Collaborative Filtering Algorithm Using Pearson Correlation
... In user-based collaborative filtering the predictions are computed as the weighted average of deviations from the neighbor‟s mean. In the modification process, a neighborhood size is considered as a ...
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A Multi-Criteria Collaborative Filtering Recommender System Using Clustering and Regression Techniques
... recommender system, four criteria such as Acting, Visual Effects, Direction, and Story could be rated by ...CF algorithm is to recommend new products or to estimate the utility of a certain product for a ...
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Multi-UAV collaborative system with a feature fast matching algorithm
... The above method is to be improved to reduce the probability of missing match. From the method of generating B fmf , we know that if the corresponding element of V fmf >0 then the element is 1. By analyzing the ...
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Research of Collaborative Filtering Recommendation Algorithm for Short Text
... Information filtering technology can solve this problem very ...information filtering, recommendation system has be- come an indispensable part of individualized information service form among the ...
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Study of Collaborative Filtering Recommendation Algorithm – Scalability Issue
... Keywords: Recommender System, Collaborative Filtering, Scalability.ifx 1. INTRODUCTION Day by day the popularity of the Internet and information tech- nology is increasing rapidly. Ever-expanding ...
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Collaborative Filtering Similarity Algorithm Using Common Items
... (4) Collaborative filtering (CF) seeks the nearest neighbors of the objective user based on a similarity algorithm and predicts the rating of items which the objective user has not rated [9, 10] ...
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A Personalized Recommendation Method Based on Collaborative Filtering Algorithm
... recommendation system, has played a significant role in practical ...on collaborative filtering recommendation technology theoretically, aiming at improving the accuracy of personalized ...Clustering ...
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