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Recommender Systems and the Social Web
There is an increasing demand for recommender systems due to the information overload users are facing on the Web. The goal of a recommender system is to provide personalized recommendations of pro...
View Book →Recommender Systems for Information Providers
Information providers are a very promising application area of recommender systems due to the general problem of assessing the quality of information products prior to the purchase. Recommender system...
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Analysis of multi-criteria recommendation system based on fuzzy algorithm
There is a gap in defining the multi-criteria decision-making issues and with recommendation techniques and theories that can help develop the modulation coefficient recommenders. The main objective o...
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Domestic medicine
First published in 1769...
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Movie Recommendation System Using Item Based Collaborative Filtering
In today's digital world where there is an endless variety of content consumed such as books, videos, articles, Films, etc., finding material of one's choice has become an infallible task. Digital con...
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Re-engineering the Uptake of ICT in Schools
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Recommender Systems: Advanced Developments
Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personaliz...
View Book →Meeting User Information Needs in Recommender Systems
No description available....
View Book →Mining Influence in Recommender Systems
No description available....
View Book →Building Recommender Systems with Machine Learning and AI.
Automated recommendations are everywhere: Netflix, Amazon, YouTube, and more. Recommender systems learn about your unique interests and show the products or content they think you'll like best. Discov...
View Book →Machine Learning: Make Your Own Recommender System
Launch into machine learning with our course and learn to create advanced recommender systems, ensuring ethical use and maximizing user satisfaction. Key Features Navigate Scikit-Learn effortlessly Cr...
View Book →Recommender Systems for Learning
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore a...
View Book →Persuasive Recommender Systems
Whether users are likely to accept the recommendations provided by a recommender system is of utmost importance to system designers and the marketers who implement them. By conceptualizing the advice ...
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Description-based Post-hoc Explanation for Twitter List Recommendations
Twitter List recommender systems can generate highly accurate recommendations, but since they employ heterogeneous information of users and Lists and apply complex prediction models, they cannot provi...
View Book →Group Recommender Systems
This book presents group recommender systems, which focus on the determination of recommendations for groups of users. The authors summarize different technologies and applications of group recommende...
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A recommender system to restore images with impulse noise
We build a collaborative filtering recommender system to restore images with impulse noise for which the noisy pixels have been previously identified. We define this recommender system in terms of a n...
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A primer of Freudian psychology
First published in 1954...
View Book →Impact of context-aware recommender systems on habitual listening patterns
Seminar paper from the year 2017 in the subject Musicology - Miscellaneous, grade: 1,0, , language: English, abstract: With the ubiquitous availability and rapid travelling of information, networked m...
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CuMF_SGD: Fast and Scalable Matrix Factorization
Matrix factorization (MF) has been widely used in e.g., recommender systems, topic modeling and word embedding. Stochastic gradient descent (SGD) is popular in solving MF problems because it can deal ...
View Book →Tourism Informatics: Visual Travel Recommender Systems, Social Communities, and User Interface Desig
"This book presents innovative research being conducted into Travel Recommender Systems, travel related on-line communities, and their user interface design"--Provided by publisher....
View Book →Recommender Systems for the Social Web
The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the pro...
View Book →A Web-Based Prototype Course Recommender System using Apache Mahout
Project Report from the year 2017 in the subject Computer Science - Miscellaneous, grade: BSc Honours in Computer Science, , course: Honors research project, language: English, abstract: Most universi...
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Personalization techniques and recommender systems
x, 323 p. : 24 cm...
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Financial Management
First published in 1987...
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An Unbiased Data Collection and Content Exploitation/Exploration Strategy for Personalization
One of missions for personalization systems and recommender systems is to show content items according to users' personal interests. In order to achieve such goal, these systems are learning user inte...
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Imitation of Christ
First published in 1568...
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The English Tongue
First published in 1740...
View Book →Recommender Systems Handbook
The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not hav...
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Film art
First published in 1979...
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ERIC ED537453: Proceedings of the International Conference on Educational Data Mining (EDM) (4th, Ei
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets...
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The reinforcing influence of recommendations on global diversification
Recommender systems are promising ways to filter the overabundant information in modern society. Their algorithms help individuals to explore decent items, but it is unclear how they allocate populari...
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The schoolmasters assistant
First published in 1744...
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Building an Interpretable Recommender via Loss-Preserving Transformation
We propose a method for building an interpretable recommender system for personalizing online content and promotions. Historical data available for the system consists of customer features, provided c...
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Show Me the Money: Dynamic Recommendations for Revenue Maximization
Recommender Systems (RS) play a vital role in applications such as e-commerce and on-demand content streaming. Research on RS has mainly focused on the customer perspective, i.e., accurate prediction ...
View Book →Advanced Design and Manufacturing Technology I
Special topic volume with invited peer reviewed papers only....
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Analysis of Trust-Based Recommendation for Recommendation Model in Data Mining
As an essential strategy for Data Filtering, the recommender structures have been pulled in and made a huge amount of eagerness as far back as ten years. The past suggestion procedures and philosophie...
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Towards a new healthy food decision-making system
Latterly, food recommendation systems have received high attention due to their importance to healthy living. On the recommendation domain, most studies focus on recommendations that suggest healthy p...
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Recommender Systems
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of ...
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Multiresolution Analysis of Incomplete Rankings
Incomplete rankings on a set of items $\{1,\; \ldots,\; n\}$ are orderings of the form $a_{1}\prec\dots\prec a_{k}$, with $\{a_{1},\dots a_{k}\}\subset\{1,\dots,n\}$ and $k < n$. Though they arise in ...
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On Cooking
First published in 1994...
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Understanding Nutrition
First published in 1977...
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The Constitution of the United States and related documents
First published in 1787...
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USPTO Patents Application 10029830
Hierarchical decision fusion of recommender scores...
View Book →Supreme Court Appellate Division
No description available....
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ERIC ED596573: Adaptive Sequential Recommendation for Discussion Forums on MOOCs Using Context Trees
Massive open online courses (MOOCs) have demonstrated growing popularity and rapid development in recent years. Discussion forums have become crucial components for students and instructors to widely ...
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ERIC ED592667: Expediting Support for Social Learning with Behavior Modeling
An important research problem for Educational Data Mining is to expedite the cycle of data leading to the analysis of student learning processes and the improvement of support for those processes. For...
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