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Collaborative Filtering Algorithm

A Personalized Recommendation Method Based on Collaborative Filtering Algorithm

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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Collaborative Filtering Algorithm over Ecommerce Website Based on User Interest

Collaborative Filtering Algorithm over Ecommerce Website Based on User Interest

... In collaborative filtering suggestions, the collaborative filtering algorithm is one of the most widely used and the most successful algorithms in the recommended field by using a long ...

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An Implementation of Content Boosted Collaborative Filtering Algorithm

An Implementation of Content Boosted Collaborative Filtering Algorithm

... Collaborative filtering (CF) systems have been proven to be very effective for personalized and accurate ...Content-boosted collaborative filtering with imputational rating data to evaluate ...

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An Improved Collaborative Filtering Algorithm Based on RLPSO

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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Collaborative Filtering Algorithm Based on Weighted Synthesis Method of Eigenvalues Factors

Collaborative Filtering Algorithm Based on Weighted Synthesis Method of Eigenvalues Factors

... them, collaborative filtering recommendation algorithm for the most widely recommended algorithm, compared to the traditional based on content, utility, knowledge, association Rules of ...

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Research on Parameter Optimization in Collaborative Filtering Algorithm

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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An Improved Online Book Recommender System using Collaborative Filtering Algorithm

An Improved Online Book Recommender System using Collaborative Filtering Algorithm

... In e-commerce today, contents available for users to explore are overwhelming because an average ecommerce website is about seventy per cent (70%) more than a physical store in total number of users and items. Hence, the ...

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A New Hybrid Collaborative Filtering Algorithm with Combination of Trust

A New Hybrid Collaborative Filtering Algorithm with Combination of Trust

... A main problem modern consumer faced is how to find useful information which is the information overload problem. To cope with this problem, Recommender Systems (RSs) are designed. Collaborative ...

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Research on Collaborative Filtering Algorithm in Microblogging Recommendation

Research on Collaborative Filtering Algorithm in Microblogging Recommendation

... In order to apply this kind of connection reasonably to the personalized recommendation, In the paper, We considering the degree of trust and the user interaction trust, an improved coll[r] ...

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A Personalized Job Recommended System Using Hybrid Collaborative Filtering Algorithm

A Personalized Job Recommended System Using Hybrid Collaborative Filtering Algorithm

... Remy Kessler, et.al,…[2] proposes new approaches to the online employment market. E-Gen is a system which meets this challenge as fast and judiciously as possible. We chose emails as the input format, which is the most ...

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Implementation of User Based Collaborative Algorithm in Real Estate Property

Implementation of User Based Collaborative Algorithm in Real Estate Property

... Above Fig. 4 shows the isolation of the co-related users and similarity computation. The user based collaborating filtering algorithm is somewhat similar to item based collaborative filtering ...

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Ratings Distribution Recommendation Model based Collaborative Filtering Recommendation Algorithm

Ratings Distribution Recommendation Model based Collaborative Filtering Recommendation Algorithm

... a collaborative filtering algorithm (RDRM-CF), which is based on the distribution model of the rating value ...The algorithm can effectively filter the interference of the popular item ratings ...

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Task Based Design Knowledge Collaborative Filtering Recommendation and Its Application

Task Based Design Knowledge Collaborative Filtering Recommendation and Its Application

... design activity. For the same user, different design tasks required different design knowledge. There are also differences between design knowledge required for design tasks in the past and knowledge required for now. To ...

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An Improved Collaborative Filtering Recommendation Algorithm Based on User Forgetting Curve

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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Improved Collaborative Filtering using Evolutionary Algorithm based Feature Extraction

Improved Collaborative Filtering using Evolutionary Algorithm based Feature Extraction

... processing time. Sarwar et al [10] propose that the SVD-based approach to recommendations produced results that were better than a traditional collaborative filtering algorithm in case of a ...

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A Collaborative Filtering Recommendation Algorithm based on User Attribute and Rating

A Collaborative Filtering Recommendation Algorithm based on User Attribute and Rating

... traditional collaborative filtering algorithms do not consider the attribute of ...improved algorithm based on user rating and user ...traditional collaborative filtering ...

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Adaptive Collaborative Filtering Recommendation Algorithm Based on User Attributes

Adaptive Collaborative Filtering Recommendation Algorithm Based on User Attributes

... recommended algorithm, like pre filling ...new collaborative filtering algorithm based on kernel density estimation; literature [7] proposed a new method by setting the scaling parameter to ...

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Probability matrix decomposition based collaborative filtering recommendation algorithm

Probability matrix decomposition based collaborative filtering recommendation algorithm

... need. Collaborative filtering recommendation algorithm can recommend items for users according to their ...recommendation algorithm which has defects such as data sparsity needs to be ...the ...

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Evaluation of Accuracy between Item-Based and Matrix Factorization Recommender System

Evaluation of Accuracy between Item-Based and Matrix Factorization Recommender System

... factorization collaborative filtering algorithm and Item-based collaborative filtering, which utilizes item ...factorization collaborative filtering algorithm is ...

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An Improved Item based Collaborative Filtering Recommendation System

An Improved Item based Collaborative Filtering Recommendation System

... Collaborative filtering recommendation algorithm can be divided into user-based collaborative filtering algorithm and item-based collaborative filtering ...

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