User similarity

This paper proposes a friend recommendation system on social networks based on how to calculate the reliability between users. The recommendation system is implemented using the Neo4j graph database. The results of the truth algorithm proposed in this paper are higher than other similar algorithms.

6p visystrom 22-11-2023 14 3   Download

This book has been written to provide a practical introduction to relational database design and database development for students studying computing-related courses and anyone else who needs to work with relational databases, either as users, designers or developers. Similarly, people who are commissioning a database may benefit from an understanding of this content.

164p haojiubujain01 06-06-2023 4 4   Download

The study in this paper introduces various novel methods utilizing the baseline estimate to learn user interests in specific item features from their past interactions. Subsequently, extracted user feature vectors are implemented to estimate the user-item correlations, providing an additional fine-tuning factor for neighborhood-based collaborative filtering systems.

9p viargus 20-02-2023 7 1   Download

Lecture Object-Oriented programming - Lesson 33: Multiple type arguments. The main topics covered in this chapter include: user-defined types, compiler performs static type checking to diagnose type errors, different data types, similar operation, template arguments as policy,...

27p linyanjun_2408 23-04-2022 7 2   Download

This study investigates stakeholders’ perception of the sustainability of Nigeria’s MYTO pricing methodology vis-à-vis government’s electricity efficiency objectives. Using a five-point Likert questionnaire, data was collected and analysed via descriptive and regression analyses. The results indicate that 96% of the variations in electricity pricing is accounted for by government’s electricity efficiency objectives of acceptability, accessibility and availability. The study concludes that Nigeria’s MYTO pricing regime is sustainable.

8p caygaocaolon11 18-04-2021 12 1   Download

The purpose of this paper is to investigate an extension of reputation based topic trust computation to include degrees of user’s influence in community. We propose a computation method which is exhibited within two steps: (i) Execute topic trust estimation with influence and interests via interaction among peers; (ii) Perform trust computation from reputation according similarity degrees with trustee peer.

10p nguaconbaynhay11 07-04-2021 8 0   Download

This paper proposes a computational model of topic trust being constructed from users similarity and levels of their interaction. It is defined as function of similarity degrees in interests and levels of interaction in topics among users. Based on this model, we may estimate trustworthy values among peers in all cases with some direct and indirect interaction or without any interaction. The proposed approach may overcome limitation in the high computational cost of propagation methods based on graph models.

8p trinhthamhodang9 10-12-2020 15 1   Download

The purpose of this work is to present a model of trust computation being defined by means of the context of user’s interests and degrees of direct interaction among peers. A dynamic structure of social network based on a hierarchy of peers into k-layer neighbors w.r.t. a given source peer is investigated. We introduce a similarity measure being constructed from the space of vectors of users’ interests. Up on the location of a target peer w.r.t. the hierarchy, we propose methods of estimating trust values via propagation as well as the similarity.

10p trinhthamhodang9 10-12-2020 15 1   Download

The purpose of this paper is first to present vectorial representations of user’s entries and interests in topics in social networks. Based on such vectorization of short texts, we propose three interest measures of users. And then we investigate the relationships among interest degrees, similarity and trustworthiness of users based on these measures. Some preliminary studies on these correlations are exhibited.

9p trinhthamhodang9 10-12-2020 10 1   Download

In the experiments, the LSTM networks are compared with a similar deep learning method, which is Recurrent Neural Networks (RNN), and a baseline machine learning method, which is the collaborative filtering using item-based nearest neighbors (item-KNN). It has been found that the LSTM networks are able to be improved by optimizing their hyperparameters and outperform the other methods when predicting the next movies interested by users.

9p trinhthamhodang9 04-12-2020 9 1   Download

Swipe-Based Dating Applications (SBDAs) function similarly to other social media and online dating platforms but have the unique feature of “swiping” the screen to either like or dislike another user’s profile. There is a lack of research into the relationship between SBDAs and mental health outcomes.

12p vigeorgia2711 30-11-2020 12 2   Download

It is important to accurately determine the performance of peptide:MHC binding predictions, as this enables users to compare and choose between different prediction methods and provides estimates of the expected error rate.

9p vikentucky2711 26-11-2020 7 0   Download

Social media networks have evolved as a large repository of short documents and gives the greater challenges to effectively retrieve the content out of it. Many factors were involved in this process such as restricted length of a content, informal use of language (i.e., slangs, abbreviations, styles, etc.) and low contextualization of the user generated content. To meet out the above stated problems, latest studies on context-based information searching have been developed and built on adding semantics to the user generated content into the existing knowledge base.

20p kequaidan1 05-11-2019 19 2   Download

This paper presents a model for estimating the similarity between users based on their behavior on social networks. The considered behaviors are activities including posting entries, liking these entries, commenting and liking the comment in these entries. The model is then evaluated with a dataset-collected users from Twitter.

11p vithanos2711 09-08-2019 26 0   Download

The question is forwarded to only that friend who able to give best answer based on similar interest thus reducing computation cost of mobile nodes. By using Question and Answer system based on social network user can get high quality answers.

4p hongnhan878 12-04-2019 17 0   Download

In the Internet era, the online trading of various fields is growing quickly. As a result, cyber crime is increasing constantly. Phishing is a new type of crime aimed at stealing user information via these fake web pages. Most of these phishing web pages look similar to the real web pages in terms of website interface and uniform resource locator (URL) address.

7p praishy2 27-02-2019 27 2   Download

In this paper, the authors further improve the use of users feedback with multi-feature query and the Choquet integral. Taking into account the interaction among feature sets, feedback information is used to adjust the feature’s relevance weights that are considered as the fuzzy density values in the Choquet integral to define the overall similarity measure between two images.

19p thuyliebe 04-10-2018 35 0   Download

Chapter 13 - Financial statement analysis. Expressing financial statement information in the form of ratios enhances its usefulness. Ratios permit comparisons over time and among companies, highlighting similarities, differences, and trends. This chapter addresses the importance of proficiency with common financial statement analysis techniques that benefit both internal and external users.

16p estupendo5 30-08-2016 41 1   Download

(BQ) Tài liệu Analogies Grades 4 - 5 helps sharpen critical thinking skills and boost test scores by providing your students with plenty of practice using analogies such as daisy is to flower as quarter is to coin, or sail is to boat as handlebar is to bike. These 40 fun practice pages will help students recognize and classify relationships between words including user/object, synonym, antonym, homonym, and more.

48p thieulam5782 04-10-2015 56 7   Download

EES is particularly useful for design problems in which the effects of one or more parameters need to be determined. The program provides this capability with its Parametric Table, which is similar to a spreadsheet. The user identifies the variables that are independent by entering their values in the table cells. EES will calculate the values of the dependent variables in the table. The relationship of the variables in the table can then be in publication-quality plots.

249p nguyenkimluong 26-05-2014 83 14   Download