[PDF] Top 20 A Novel Similarity Measure to Identify Effective Similar Users in Recommender Systems
Has 10000 "A Novel Similarity Measure to Identify Effective Similar Users in Recommender Systems" found on our website. Below are the top 20 most common "A Novel Similarity Measure to Identify Effective Similar Users in Recommender Systems".
A Novel Similarity Measure to Identify Effective Similar Users in Recommender Systems
... Recommendation Systems. I. INTRODUCTION The Recommender system is a type of data filtering technique whose challenge is to take user's priorities and make recommendations based on those ...referral ... See full document
7
A New Similarity Measure for User-based Collaborative Filtering in Recommender Systems
... having similar tastes because for their linear offset from their mean, Pearson correlation groups patterns irrespective of their range of ...of users whose expression has a narrow range (2 to 4) while Eve ... See full document
11
SimCo: A Novel Similarity Based Collaborative Filtering In Recommender Systems
... Based Systems: This system was developed based on the past information saved by the ...the users. Most demanding items are often searched by the users are used for the content based ...The ... See full document
8
Using Tags for Measuring the Semantic Similarity of Users to Enhance Collaborative Filtering Recommender Systems
... tagging systems, which allow users to use their own generated tags to organize, categorize, describe and search digital content on social ...tagging systems is leading to an increasing need for ... See full document
8
A Movie Recommender System using Ontology Based Semantic Similarity Measure
... based recommender systems uses only historical rating data to generate ...Every recommender system predicts rates for items, followed by generation of top-N ...the similarity score between two ... See full document
7
A Review on Similarity Measurement Methods in Trust-based Recommender Systems
... on users-items matrix, which is a two dimensional matrix that users are rows and items are columns and content of each cell, is interest of the user to the ...system measure similarity between ... See full document
10
Improving Recommender Systems in E Commerce Using Similar Goods
... a Recommender System using association of complementary and similarity among goods and commodities and offer the best goods based on personal needs and ...the similarity, and then offer them to ...we ... See full document
6
A Novel Approach by Collaborative Filtering Based On Similarity among Users
... ABSTRACT:Recommendation systems are widely used by e-commerce websites to recommend items to ...users. Recommender systems apply knowledge discovery techniques to the problem of making ... See full document
8
Detect Overlapping Community With Reliability Measure And Rule Based For Improving Recommender Systems
... by users in websites, people have problems to find the best ...information. Recommender systems are a big ingredients of online systems such as e-stores e-commerce ...from users-items ... See full document
5
Effective dependency rule-based aspect extraction for social recommender systems.
... websites, users write product reviews and states their opinions on different aspects of purchased ...to identify reviewers' ...less similar to the query ...are similar and better than the ... See full document
13
Defending Suspected Users by Utilizing Specific Distance Metric in Collaborative Filtering Recommender Systems
... of users, although it can be helpful to filtering out more genuine users and show high computation time, although they can be effective to capture the concerned attackers in some ...existing ... See full document
11
Identifying Abnormal Behavior of Users in Recommender Systems
... end, recommender systems are proposed which are a type of information filtering system that acts as a filter and displays information that is useful and close to the user's ...help users to select ... See full document
14
Towards effective research recommender systems for repositories
... develop recommender systems for repositories based on ...CF recommender systems for research can already be developed by companies that have many users on their platform and ... See full document
7
A Novel Similarity Measure for Clustering Categorical Data Sets
... Measuring similarity between two data objects is a more challenging problem for data mining and knowledge discovery ...define similarity measure. The problem of similarity becomes more complex ... See full document
6
Absolute joint moments: a novel image similarity measure
... a novel approach for estimating image similarity. This measure is of importance in assessing image correspondence or image alignment and plays an important role in image ...image similarity ... See full document
11
Fuzzy Weighted Similarity Measures for Memory Based Collaborative Recommender Systems
... third similarity measure we have examined is the mean difference weights similarity measure which gives an indirect way for calculating the similarity between ...this similarity ... See full document
10
CiteSeerX — Novel Perspectives in Collaborative Filtering Recommender Systems
... a novel analysis us- ing a real-world data set with user-generated online reviews, where we both identify the different student, course, plat- form, and university characteristics that affect student re- ... See full document
5
Introduction to Recommender Systems Introduction to Recommender Systems
... find a set of users (peers) who liked the same items as Alice in the past and (p ) p who have rated item I use, e.g. the average of their ratings to predict, if Alice will like item I do this for all items Alice ... See full document
139
A Structural Similarity Measure
... the measure doesn’t include morpho- logical and morphosyntactic ...reliable measure combining struc- tural information with the information con- tained in node labels is very ...of systems of tags ... See full document
9
Novel similarity measure for interval-valued data based on overlapping ratio
... the similarity between two objects captures the degree to which they are ...simplicity. Similarity is typically assumed to be symmetrical; however, for certain stimuli, similarity may be better ... See full document
7
Related subjects