recommendation method
IMPROVING BUSINESS PROCESS MODELING USING RECOMMENDATION METHOD
... workflow recommendation method which is improving the business process model for providing the guidance to extend or complete the business process under ...our method achieved better or equal ...
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Research on Personalized Recommendation Method of Academic Resources based on Hadoop
... personalized recommendation method of academic resources needs to dig out the academic resources which meet the user's preference from the massive academic resources and take the initiative to the ...
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A Book Recommendation Method Based on Paragraph Vector and User’s Book Arrangement
... book recommendation method that considers serendipity and explainability and is based on user book ...user’s recommendation, which is easy to ...
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An Adaptive Recommendation Method Based on Small-World Implicit Trust Network
... of recommendation due to the sparsity ...adaptive recommendation method based on small-world implicit trust ...a method to construct the small-world implicit trust network based on user ...
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A Personalized Recommendation Method Based on Collaborative Filtering Algorithm
... the recommendation of related commodity items, and proposes a personalized recommendation ...personalized recommendation method in this paper is more accurate than the traditional ...
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Route Recommendation Method Based on Driver’s Intention Estimation Considering the Route Selection When Using the Car Navigation
... route recommendation method based on estimating driver’s intent by comparing the characteristics of the route selected by driver and the route not selected by driver but recommended by car navigation ...the ...
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Serendipitous Recommendation Method based on WWW Access Log
... proposed recommendation method on a real EC-site TECH-JAM , and evaluated the feasibility by observing user s ...a recommendation method based on collaborative filtering using the access log, ...
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A Personalization Recommendation Method Based on Deep Web Data Query
... implicit method and explicit method. The so- called implicit method refers to monitor users’ behavior on the web page, and record browse number of a page, residence time, the query content of ...
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Mobile marketing recommendation method based on user location feedback
... mobile recommendation algorithm contest held in ...personalized recommendation model for a subset of all ...a recommendation model for users in U to products in ...
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Recommendation Method with Rough Sets in Restaurant Point of Sales System
... The actual implementation in a restaurant can be consid- ered by modifying the menu system with a point of sales (POS) system functionality. Restaurant POS systems assist businesses to track transactions in real time and ...
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A Method of Personalized Recommendation Based on Differential Privacy
... filtering recommendation method based on simple Bayesian classifier, which alleviates the sparseness and improves the accuracy of searching for the nearest neighbor ...book recommendation system ...
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Decision Making System for User Behaviour Analysis using Prediction Algorithm
... ABSTRACT: Various organizations need Decision Making System for enhancing the service providing ability towards user. So, the user behaviour analysis is required for decision making system to deal with understanding ...
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An Efficient Method For Friend Recommendation On Social Networks
... friend recommendation method using physical and social ...proposed method is consisted of the following three stages; Firstly, our method computes the friendship score based on similar ...
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Title: Ontology Based Virtual Assistant for Diet Recommendation
... general. Recommendation engines now power most of the popular social and commerce ...behind recommendation systems and the algorithms that power ...A recommendation engine, also known as a ...
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Personalized Web Recommendation Combining User centered Collaborative Technique with URL Weighting
... E-commerce is growing rapidly keeping pace with the web. Its rapid growth has made both companies and customers face a new dimension. Whereas companies are facing hard time to survive due to more and more competitions, ...
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A Hybrid Matrix Factorization Method with Isolation Forest for Recommendation System
... Outlier detection (or anomaly detection) is a fundamental data analysis problem in machine learning and data mining field. Outlier detection algorithms can be divided into statistical-based methods[2-5], distance-based ...
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Recommendation of Product using Hybrid Filtering Approach from Textual Reviews
... The Recommendation or Prediction phase predicts what kind of items of the user may ...efficient recommendation technique is very important for system that will provide good and useful recommendation ...
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Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems
... news recommendation and email recipient recommendation, demonstrate the effectiveness of this approach and show that it significantly outperforms six state-of-the-art methods for item ...start ...
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Citation Resolution: A method for evaluating context based citation recommendation systems
... passage method with k = 400 beats both full text and title abstract, suggesting that a more elaborate way of building a document repre- sentation should improve ...
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Knowledge Driven Paper Recommendation Using Heterogeneous Network Embedding Method
... their recommendation needs a sig- nificant number of registered users in the ...quality recommendation results and alleviating sparsity and cold start ...citation-based recommendation approach makes ...
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