Recommendation Algorithm
Intelligent Selection Recommendation Algorithm in the
... selection recommendation algorithm and the recommended course selection algorithm based on comprehensive evaluation of ...selection recommendation algorithm uses 0-1 integer programming ...
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A social trust and preference segmentation based matrix factorization recommendation algorithm
... A recommendation can inspire potential demands of users and make e-commerce platforms more intelligent and is essential for e-commerce enterprises ’ sustainable ...social recommendation algorithm ...
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Adaptive Collaborative Filtering Recommendation Algorithm Based on User Attributes
... filtering recommendation algorithm based on user attributes. The algorithm first uses the item properties to build the user preference matrix, and then establishes the user rating preference matrix ...
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Incorporating Tag Information To Enhance The Collaborative Filtering Recommendation Algorithm
... filtering recommendation algorithm, the similarity is calculated based on the common ratings and the accuracy is not well when the data is ...the algorithm. Keywords: Recommendation System, ...
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An Efficient movie recommendation algorithm based on improved k-clique
... The remainder of the article is organized as follows: “Related work” section, pre- sents the relevant work in the field. In “An efficient movie recommendation algorithm based on improved k-clique” section, ...
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Improved Network Based Recommendation Algorithm
... network-based recommendation algorithm to achieve better perso- nalized recommendation by considering users’ explicit scores for ...this algorithm. We in- vestigated the recommendation ...
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Research of Collaborative Filtering Recommendation Algorithm for Short Text
... filtering, recommendation system has be- come an indispensable part of individualized information service form among the new generation of Web appli- ...filtering algorithm (CFA) is the most efficient ...
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Jaccard with Singular Value Decomposition Hybrid Recommendation Algorithm
... In this paper, we study the hybrid recommendation algorithm of Jaccard and SVD. The experimental results show that compared with the previous algorithms, such as: NMF, AA, RA and so on; Jaccard_with_SVD ...
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Dynamic Personalized Recommendation Algorithm on Sparse Data
... Filtering algorithm on the cloud computing platform. Recommendation systems are very important in the fields of E-commerce and other Web-based ...high-quality recommendation on sparse ...personalized ...
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A Book Recommendation Algorithm Considering User Development
... the recommendation algorithm applicable to university ...the recommendation system in the field of electronic commerce, the book recommendation of university library has its own distinct ...
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Probability matrix decomposition based collaborative filtering recommendation algorithm
... The recommendation system which can filter diversified data is an effective filtering approach ...filtering recommendation algorithm which could recommend information to users through calculating ...
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Recommendation algorithm based on user score probability and project type
... traditional algorithm that users randomly choose a product to score, the paper improves the rec- ommendation algorithm (UPCF) with integrating score preference and project type, which makes full use of the ...
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A Robust Collaborative Recommendation Algorithm Incorporating Trustworthy Neighborhood Model
... collaborative recommendation algorithms are quite vulnerable to user profile injection ...collaborative recommendation algorithm incorporating trustworthy neighborhood ...collaborative ...
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Research on the Personalized Recommendation Algorithm for Hairdressers
... discusses recommendation algorithm based on customer ratings and customer classi- fication method based on Logistic Regression Model and gives simulation ...of algorithm about how to add the loss ...
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A Collaborative Filtering Recommendation Algorithm based on User Attribute and Rating
... recommended algorithm has which computed on the high-dimensional sparse matrix is not ...filtering recommendation algorithm which can improve measure, imitate by experiment and ...this ...
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Study of Collaborative Filtering Recommendation Algorithm – Scalability Issue
... clustering algorithm named as DBSCAN is used to find the arbitrary shaped clusters by defining the density of the data points within the specific ra- ...this algorithm, two parameters are used, which are ...
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Personalized Recommendation Algorithm Based On Secured Preferences User Profile
... altered recommendation accommodation,[1] whose key beginning is to assemble a social event of phony tendency profiles to hide the sensitive subjects contained in an utilizer inclination profile, and in this way ...
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RECOMMENDATION ALGORITHM: ITEM-BASED COLLABORATIVE FILTERING
... Most recommendation algorithms start by finding a set of customers whose purchased and rated items overlap the user’s purchased and rated ...The algorithm aggregates items from these similar customers, ...
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An Improved Collaborative Filtering Recommendation Algorithm
... traditional recommendation algorithms have make some results, they are incapable of solving the problem of data sparseness [7] and the cold start problem is another challenge for traditional recommender ...new ...
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Prediction of Online Products using Recommendation Algorithm
... A recommendation system has been implemented based on hybrid approach of stochastic learning and context based ...for recommendation to come up with a hybrid ...of recommendation approaches, ...
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