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[PDF] Top 20 A Book Recommendation Algorithm Considering User Development

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A Book Recommendation Algorithm Considering User Development

A Book Recommendation Algorithm Considering User Development

... a recommendation system that can recommend books to students based on different majors and different learning ...personalized recommendation by taking into account the situation, users and ...Apriori ... See full document

5

Development of a novel recommendation algorithm for collaborative health - care system model

Development of a novel recommendation algorithm for collaborative health - care system model

... of user medical condition, but also gives opportunity for the users not to be restricted in their movements or their ...the user cell phone notifying the decision given by the clinical ... See full document

18

Book Recommendation System Using Apache Spark

Book Recommendation System Using Apache Spark

... (ALS) algorithm to learn these latent ...the book recommendations. New user has not rated any books so it is difficult to rate the books using collaborative filtering as this method requires rating ... See full document

6

Friend book:   A Friend recommending system through Life Style

Friend book: A Friend recommending system through Life Style

... Memory-Based algorithm: Memory-Based algorithm simply stores all the user ratings into ...memory-based recommendation and both are based on the k-Nearest Neighbor algorithm: ... See full document

5

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] ... See full document

11

An Improved Collaborative Filtering Recommendation Algorithm Based on User Forgetting Curve

An Improved Collaborative Filtering Recommendation Algorithm Based on User Forgetting Curve

... the recommendation algorithm [1]. Throughout the development process of the recommender system, the collaborative filtering (CF) algorithm is the earliest and most famous recommendation ... See full document

7

Adaptive Collaborative Filtering Recommendation Algorithm Based on User Attributes

Adaptive Collaborative Filtering Recommendation Algorithm Based on User Attributes

... rapid development of the Internet brings the convenience but also results in “information trek” problem, which is solved by personalized recommendation ...filtering recommendation algorithm ... See full document

7

Personalized Recommendation of Tourist Attractions based on LBSN

Personalized Recommendation of Tourist Attractions based on LBSN

... current recommendation system. Tourist attractions recommendation is different from the general recommendation, in real life, the time people travel is often very few, the traditional collaborative ... See full document

6

Intelligent Selection Recommendation Algorithm in the

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 ... See full document

6

Design of a Recommendation Model Considering Semantic Analysis

Design of a Recommendation Model Considering Semantic Analysis

... blog recommendation that how we introduce interesting, personalized and socially related weblogs of this peer-produced information to bloggers[15][16] through recommendation ...the development of ... See full document

5

Decision Making System for User Behaviour Analysis using Prediction Algorithm

Decision Making System for User Behaviour Analysis using Prediction Algorithm

... by user for that product ...processing user behavior using interaction, confidence, diagnostic, intention to analyze decision quality ...criteria user modeling to improve the quality of service [7] ... See full document

6

A Book Recommendation Method Based on Paragraph Vector and User’s Book Arrangement

A Book Recommendation Method Based on Paragraph Vector and User’s Book Arrangement

... converted into a symbol. We use MeCab [10] for the morpho- logical analysis. The book feature vector is generated using Doc2Vec, and the input document is one document, which contains review grouping by ... See full document

5

Top N Recommendation with TrustSVD++ for User Trust and Item Rating with Implicit Techniques

Top N Recommendation with TrustSVD++ for User Trust and Item Rating with Implicit Techniques

... used recommendation in item to item recommendation and User trust recommendation and an investigation of social trust information from four certifiable information sets proposes that the ... See full document

5

Large-scale Parallel Collaborative Filtering for the Netflix Prize

Large-scale Parallel Collaborative Filtering for the Netflix Prize

... Many recommendation systems suggest items to users by utilizing the techniques of collaborative filtering (CF) based on histor- ical records of items that the users have viewed, purchased, or ...parallel ... See full document

12

Performance Evaluation of a Bi directional Feedback Approach for Expertise Recommendation in Academic Research

Performance Evaluation of a Bi directional Feedback Approach for Expertise Recommendation in Academic Research

... expertise recommendation systems, the target is “expert” in place of “items”, such as movies or books as in the case of general recommender ...Expertise recommendation systems have been shown in literature ... See full document

12

A Classification Algorithm to Improve the Design of Websites

A Classification Algorithm to Improve the Design of Websites

... clustering user transactions identified in the preprocessing ...clustering user transactions based on mined information from access logs does not require explicit ratings or interaction with ...case, ... See full document

8

Clustering of Web Search Result Based on C-Means Algorithm and User Search Recommendation

Clustering of Web Search Result Based on C-Means Algorithm and User Search Recommendation

... • Personalized Web Search Engine using Dynamic User Profile and ClusteringTechniques: Internet is large interconnection of small networks that is commonly known as World Wide Web. The amount of information’s ... See full document

5

User control in recommendation systems

User control in recommendation systems

... information, recommendation systems are needed to help users find and evaluate articles of preference or ...that user preferences are not in line with the recommendation made, mechanisms should be ... See full document

14

Enhanced Job Recommendation System

Enhanced Job Recommendation System

... job recommendation system where everyone will have a fair and square ...every algorithm used in today’s world, be it a traditional algorithm or a hybrid algorithm, is to provide a suitable job ... See full document

8

An Adaptive Recommendation Method Based on Small-World Implicit Trust Network

An Adaptive Recommendation Method Based on Small-World Implicit Trust Network

... of recommendation for collaborative filtering ...on user clustering and implicit trust relationship among ...adaptive recommendation algorithm (ARA) based on the constructed small-world ... See full document

8

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