scholarly journals Graph-Based Collaborative Filtering with MLP

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Shengyu Lu ◽  
Hangping Chen ◽  
XiuZe Zhou ◽  
Beizhan Wang ◽  
Hongji Wang ◽  
...  
Keyword(s):  
Collaborative Filtering ◽  
Kernel Function ◽  
Multilayer Perceptron ◽  
Historical Data ◽  
Recommendation Systems ◽  
The Other ◽  
Coefficient Of Correlation ◽  
Other Hand ◽  
Latent Features ◽  
Svd Method

The collaborative filtering (CF) methods are widely used in the recommendation systems. They learn users’ interests and preferences from their historical data and then recommend the items users may like. However, the existing methods usually measure the correlation between users by calculating the coefficient of correlation, which cannot capture any latent features between users. In this paper, we proposed an algorithm based on graph. First, we transform the users’ information into vectors and use SVD method to reduce dimensions and then learn the preferences and interests of all users based on the improved kernel function and map them to the network; finally, we predict the user’s rating for the items through the Multilayer Perceptron (MLP). Compared with existing methods, on one hand, our method can discover some latent features between users by mapping users’ information to the network. On the other hand, we improve the vectors with the ratings information to the MLP method and predict the ratings for items, so we can achieve better effects for recommendation.

Using Recommendation Systems to Adapt Gameplay

2011 ◽  
pp. 64-77 ◽  
Author(s):  
Ben Medler
Keyword(s):  
Web Application ◽  
Web Applications ◽  
Recommendation Systems ◽  
User Preferences ◽  
The Other ◽  
User Input ◽  
Data Intensive ◽  
Other Hand ◽  
Research Communities ◽  
Game Developers

Recommendation systems are key components in many Web applications (Amazon, Netflix, eHarmony). Each system gathers user input, such as the products they buy, and searches for patterns in order to determine user preferences and tastes. These preferences are then used to recommend other content that a user may enjoy. Games on the other hand are often designed with a one-size-fits-all approach not taking player preferences into account. However there is a growing interest in both the games industry and game research communities to begin incorporating systems that can adapt, or alter how the game functions, to specific players. This paper examines how Web application recommendation systems compare to current games that adapt their gameplay to specific players. The comparison shows that current games do not use recommendation methods that are data intensive or collaborative when adapting to players. Design suggestions are offered within this manuscript for how game developers can benefit from incorporating the lesser used recommendation methods.

scholarly journals QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Wenming Ma ◽  
Qian Zhang ◽  
Chunxiao Mu ◽  
Meng Zhang
Keyword(s):  
Collaborative Filtering ◽  
Video Streaming ◽  
Historical Data ◽  
Experimental Studies ◽  
The Other ◽  
P2p Networks ◽  
P2p Streaming ◽  
Qos Prediction ◽  
The Past ◽  
Qos Evaluation

To expand the server capacity and reduce the bandwidth, P2P technologies are widely used in video streaming systems in recent years. Each client in the P2P streaming network should select a group of neighbors by evaluating the QoS of the other nodes. Unfortunately, the size of video streaming P2P network is usually very large, and evaluating the QoS of all the other nodes is resource-consuming. An attractive way is that we can predict the QoS of a node by taking advantage of the past usage experiences of a small number of the other clients who have evaluated this node. Therefore, collaborative filtering (CF) methods could be used for QoS evaluation to select neighbors. However, we might use different QoS properties for different video streaming policies. If a new video steaming policy needs to evaluate a new QoS property, but the historical experiences include very few evaluation data for this QoS property, CF methods would incur severe overfitting issues, and the clients then might get unsatisfied recommendation results. In this paper, we proposed a novel neural collaborative filtering method based on transfer learning, which can evaluate the QoS with few historical data by evaluating the other different QoS properties with rich historical data. We conduct our experiments on a large real-world dataset, the QoS values of which are obtained from 339 clients evaluating on the other 5825 clients. The comprehensive experimental studies show that our approach offers higher prediction accuracy than the traditional collaborative filtering approaches.

The diachronic relationship between demonstratives and first/second person pronouns

2012 ◽  
Vol 13 (1) ◽  
pp. 50-71 ◽  
Author(s):  
Osamu Ishiyama
Keyword(s):  
Historical Data ◽  
Functional Similarity ◽  
The Other ◽  
Common Source ◽  
Historical Sources ◽  
Second Person ◽  
Person Pronoun ◽  
Other Hand ◽  
Close Relationship ◽  
Third Person

It is well known that demonstratives are the cross-linguistically common source of third person pronouns due to the functional similarity between them. For this reason, they are morphologically related to or formally indistinguishable from one another in many languages. First and second person pronouns, on the other hand, typically have historical sources other than demonstratives. However, unlike the close relationship between demonstratives and third person pronouns, the fact that demonstratives and first/second person pronouns have a very tenuous diachronic relationship has not attracted much attention in previous studies. Based primarily on historical data from Japanese, the present study shows that there are at least three functional reasons why demonstratives do not usually give rise to first/second person pronouns. This study also discusses a limited context in which a demonstrative does develop into a second person pronoun.

Consideraciones sobre la transmisión textual de la Crónica de Iria

2020 ◽  
Vol 136 (1) ◽  
pp. 134-160
Author(s):  
Ana Isabel Boullón Agrelo
Keyword(s):  
Seventeenth Century ◽  
Present Article ◽  
Historical Data ◽  
The Other ◽  
Original Text ◽  
15Th Century ◽  
Other Hand ◽  
Textual Transmission ◽  
Historical Text

AbstractThe textual transmission of the Crónica de Iria (a historical text written in Galicia in the 15th century) has been controversial in recent years. Its latest editor, José Souto, holds that the original text is the oldest manuscript (C), written in the 15th century by Rui Vázquez. On the other hand, David Mackenzie considered that this manuscript (C) and the seventeenth-century copy (V) come from the lost archetype with different degrees of manipulation. The historical data provided by Fernando López Alsina analysing the reasons for the composition of the Crónica de Iria supports Mackenzie’s analysis. The present article examines the indirect tradition and carries out a careful collation of the texts, aiming to draw more effective conclusions as regards the existing filiation.

scholarly journals IMPACT OF MEDICAL REPRESENTATIVES ON ACCEPTANCE OF HIGH PRICED PRESCRIPTION DRUGS BY DOCTORS: A STUDY

2021 ◽  
Vol 9 (11) ◽  
pp. 227-234
Author(s):  
Cedric Thomas Silveira
Keyword(s):  
Prescription Drugs ◽  
Urban Areas ◽  
The Other ◽  
Personal Interview ◽  
Coefficient Of Correlation ◽  
Other Hand

Do rapport and information have any bearing on doctors’ preference for high priced products? This was the study undertaken by me. Doctors in urban areas usually do not have the time to develop rapport with the medical representatives and as a result should not accept high priced products. On the other hand information too will not influence prescription of high priced products because they depend upon peer advice, seminars and conferences and evaluation tests. The situation among rural doctors is different wherein they should welcome medical representatives and their information and develop a rapport with them and thereby prescribe high priced products. However it was seen that developing a rapport was not enough for rural doctors to prescribe high priced products as they looked into the affordability of their patients first. However information was accepted and even high priced products were prescribed by doctors. On the other hand urban doctors were not influenced by either rapport or information and depended on conferences, seminars, peer advice and evaluation tests before prescribing high priced products. The study was conducted on 200 urban doctors and 200 rural doctors in Goa. A personal interview was conducted wherein the questionnaire was direct and structured. Pearson’s coefficient of correlation was used to determine if information and rapport had any correlation with doctors prescribing high priced products.

Projections for the number of students in the Polytechnic Institute of Guarda: Application of a mathematical model

Tékhne ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 11-18
Author(s):  
Cecília Rosa ◽  
Manuela Natário ◽  
José Salgado ◽  
Ana Daniel ◽  
Ascensão Braga
Keyword(s):  
Mathematical Model ◽  
Historical Data ◽  
Polytechnic Institute ◽  
The Other ◽  
Internal Dynamic ◽  
Historical Evolution ◽  
Small Decrease ◽  
Continuous Growth ◽  
Other Hand ◽  
Academic Year

Abstract The purpose of this paper is to apply a mathematical model, structured in classes, to estimate projections for the number of students for the Polytechnic Institute of Guarda (IPG) and its four schools for the period 2017–2022, based on the historical data from the period 2000–2016. The model has an internal dynamic that represents the flow of students who move from one to the next academic year, and an external dynamic that describes the flow of students who enter or leave the institution. Using the historical evolution in the period 2000–2016, three different scenarios are presented in order to quantify the number of students who will enrol in each school and in the IPG as a whole. We concluded that it is scenario 3 that presents higher enrolled students, projecting a continuous growth in the period under analysis. On the other hand, scenario 1 presents a small decrease in the number of students.

scholarly journals Multi-criteria based Item Recommendation Methods

Rekayasa ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 78-84
Author(s):  
Noor Ifada ◽  
Syafrurrizal Naridho ◽  
Mochammad Kautsar Sophan
Keyword(s):  
Collaborative Filtering ◽  
Empirical Analysis ◽  
Recommendation System ◽  
Cold Start ◽  
The Other ◽  
Other Hand ◽  
Rating Prediction ◽  
The Empirical Analysis

This paper comprehensively investigates and compares the performance of various multi-criteria based item recommendation methods. The development of the methods consists of three main phases: predicting rating per criterion; aggregating rating prediction of all criteria; and generating the top-  item recommendations. The multi-criteria based item recommendation methods are varied and labelled based on what approach is implemented to predict the rating per criterion, i.e., Collaborative Filtering (CF), Content-based (CB), and Hybrid. For the experiments, we generate two variations of datasets to represent the normal and cold-start conditions on the multi-criteria item recommendation system. The empirical analysis suggests that Hybrid and CF are best implemented on the normal and cold-start item conditions, respectively. On the other hand, CB should never be (solely) implemented in a multi-criteria based item recommendation system on any conditions.

Content boosted hybrid filtering for solving pessimistic user problem in recommendation systems

2020 ◽  
Vol 24 (6) ◽  
pp. 1477-1496
Author(s):  
Rajalakshmi Sivanaiah ◽  
R. Sakaya Milton ◽  
T.T. Mirnalinee
Keyword(s):  
Collaborative Filtering ◽  
Recommendation System ◽  
Historical Data ◽  
Predictive Accuracy ◽  
Recommendation Systems ◽  
Hybrid Filtering ◽  
Data Content ◽  
Filtering Technique ◽  
Content Based Filtering ◽  
Better Than

The main goal of a recommendation system is to recommend items of interest to users by analyzing their historical data. Content-based and collaborative filtering are the traditional recommendation strategies, each with its own strengths and weaknesses. Some of their weaknesses can be overcome by combining the two strategies. The resulting hybrid system performs qualitatively better than the traditional recommendation systems. However, historical data of some users may consist largely of only likes or only dislikes. Those users are termed as optimistic or pessimistic users respectively. On an average there are around 10 to 20% of pessimistic users present in a given dataset. For pessimistic users, whose profiles have mostly dislikes and very few likes, content-based filtering can hardly recommend any items of interest. In content-based filtering technique pessimistic users get poor recommendations of either uninteresting movies or no recommendations at all. This can be alleviated by boosting the content profiles of pessimistic users using the top-n recommendations of collaborative filtering. This content boosted hybrid filtering system provides a novel list of recommendations even for pessimistic users, with predictive accuracy better than that of a traditional content-based filtering system.

A study of cometary eruptions through OH radio-lines

1999 ◽  
Vol 173 ◽  
pp. 249-254
Author(s):  
A.M. Silva ◽  
R.D. Miró
Keyword(s):  
Short Duration ◽  
Growth Curves ◽  
The Other ◽  
Initial Mass ◽  
Radio Lines ◽  
Other Hand ◽  
Sudden Rise

AbstractWe have developed a model for theH2OandOHevolution in a comet outburst, assuming that together with the gas, a distribution of icy grains is ejected. With an initial mass of icy grains of 108kg released, theH2OandOHproductions are increased up to a factor two, and the growth curves change drastically in the first two days. The model is applied to eruptions detected in theOHradio monitorings and fits well with the slow variations in the flux. On the other hand, several events of short duration appear, consisting of a sudden rise ofOHflux, followed by a sudden decay on the second day. These apparent short bursts are frequently found as precursors of a more durable eruption. We suggest that both of them are part of a unique eruption, and that the sudden decay is due to collisions that de-excite theOHmaser, when it reaches the Cometopause region located at 1.35 × 105kmfrom the nucleus.

Closing the GAP—A 5Å Scanning Microscope

1969 ◽  
Vol 27 ◽  
pp. 6-7
Author(s):  
A. V. Crewe
Keyword(s):  
Normal Form ◽  
The Other ◽  
Resolving Power ◽  
Scanning Microscope ◽  
Conventional Microscope ◽  
Other Hand ◽  
Closing The Gap ◽  
Thermal Sources ◽  
Better Than ◽  
Transmission Microscope

We have become accustomed to differentiating between the scanning microscope and the conventional transmission microscope according to the resolving power which the two instruments offer. The conventional microscope is capable of a point resolution of a few angstroms and line resolutions of periodic objects of about 1Å. On the other hand, the scanning microscope, in its normal form, is not ordinarily capable of a point resolution better than 100Å. Upon examining reasons for the 100Å limitation, it becomes clear that this is based more on tradition than reason, and in particular, it is a condition imposed upon the microscope by adherence to thermal sources of electrons.

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