Dynamic Multi-Algorithm Collaborative-Filtering System118
A dynamic multi-algorithm collaborative-filtering system
... interest. Collaborative-filtering techniques can be used to generate recommenda- tions by using data from a community ...one collaborative-filtering algorithm into ...curate ...
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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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Research on Parameter Optimization in Collaborative Filtering Algorithm
... recommendation algorithm has become the hot research direction, because the recommendation result is closely related to the performance of the recommended ...algorithms, collaborative filtering ...
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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 ...item-based collaborative filtering ...
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An Improved Collaborative Filtering Algorithm Based on RLPSO
... people. Collaborative filtering recommendation algorithm cannot avoid the bottleneck of computing performance problems in the recommendation ...improved collaborative filtering ...
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An Implementation of Content Boosted Collaborative Filtering Algorithm
... List Examples = new ArrayList(); we.populateExamples(Examples, docsIJ); Examples is the list of number of total ratings given by every user. It is designed and developed to generate MAE values for content boosted ...
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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
... tag-based collaborative filtering in order to recommend the most adequate learning materials to the ...based collaborative filtering used for recommending 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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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 new ...
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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 network ...
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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
... on collaborative filtering recommendation technology theoretically, aiming at improving the accuracy of personalized ...Clustering algorithm is applied to collaborative filtering ...
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Probability matrix decomposition based collaborative filtering recommendation algorithm
... based collaborative recommendation algorithm was put forward in this study, and then it was developed for data searching ...the algorithm were ...based collaborative filtering ...
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Adaptive Collaborative Filtering Recommendation Algorithm Based on User Attributes
... Traditional collaborative filtering algorithms face data sparsity ...a dynamic adaptive collaborative filtering recommendation algorithm based on user ...The algorithm ...
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Incorporating Tag Information To Enhance The Collaborative Filtering Recommendation Algorithm
... System, Collaborative Filtering, multi similarity, tag information ...the collaborative filtering technology is widely used in the industry because of it’s low dependence, good ...
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A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources
... Abstract—Collaborative Filtering (CF) is one of the most com- monly used recommendation ...distributed collaborative filtering algorithm, which exploits and combines multiple and ...
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A Study of Collaborative Filtering Approach for Temporal Dynamic Web Data
... an algorithm involving a new similarity function in CF to handle the dynamics of web ...The dynamic nature of web data is captured as changes in the users’ tastes or items’ popularity are captured when new ...
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An Improved Collaborative Filtering Recommendation Algorithm Based on User Forgetting Curve
... the collaborative filtering (CF) algorithm is the earliest and most famous recommendation ...the collaborative filtering algorithm has been successfully ap- plied to many fields ...
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