Algorithm for recommending answer providers in community-based question answering

2011 ◽  
Vol 38 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Xiaolin Zheng ◽  
Zhongkai Hu ◽  
Aiwu Xu ◽  
DeRen Chen ◽  
Kuang Liu ◽  
...  
Keyword(s):  
Question Answering ◽  
Language Model ◽  
The Novel ◽  
Test Results ◽  
Real World Data ◽  
Community Based ◽  
Entropy Model ◽  
Novel Approach ◽  
Answer Quality

Obtaining answers from community-based question answering (CQA) services is typically a lengthy process. In this light, the authors propose an algorithm that recommends answer providers. A two-step framework is developed, in which a query likelihood language model is constructed that enables the determination of the interests of answer providers. The model is then used to identify answer providers who are interested in answering questions related to the identified topics. At the same time, a maximum entropy model is designed to estimate answer quality. Finally, an answer-quality-based algorithm is developed to model the expertise of answer providers for the purpose of differentiating answer providers of various capacities. The proposed scheme leverages answer provider interest and expertise, allowing for more effective differentiation. Experiments on real-world data from Baidu Knows, a renowned Chinese CQA service similar to Yahoo! Answers, reveal significant improvements over the baseline methods, and test results demonstrate the effective of the novel approach.

scholarly journals Design and Implementation of ASCII based Method for Author Attribution

2019 ◽  
Vol 8 (9) ◽  
pp. 1963-1967
Keyword(s):  
Virtual World ◽  
Authorship Attribution ◽  
English Text ◽  
The Novel ◽  
Real World Data ◽  
Data Set ◽  
Design And Implementation ◽  
Novel Approach ◽  
Criminal Personality ◽  
The Web

With the presence of computer and internet, a developing variety of hoodlums are utilizing the web to spread a wide extend of illicit materials and wrong information universally in mysterious manner, making criminal personality following troublesome in the cybercrime examination handle. The virtual world provides criminals with an anonymous environment to conduct malicious activities such as malware, sending random messages, spamming, stealing intellectual property and sending ransom e-mails. All of these activities are text in somehow. Therefore, there is a need for a tool in order to identify the author or creator of this criminality by analyzing the text. Text-based Authorship Attribution techniques are used to identify the most possible author from a bunch of potential suspects of text. In this paper, the novel approach is presented for authorship attribution in English text using ASCII based processing approach Using this ASCII based method for authorship attribution help us to obtain better result in terms of accuracy and computational efficiency. The result is based on the text which is posted on social media considering real world data set.

scholarly journals Potential item set mining by using utility pattern growth model in big data

2017 ◽  
Vol 7 (1.3) ◽  
pp. 66
Author(s):  
S. Angel Latha Mary ◽  
R. Divya ◽  
K. Uma Maheswari
Keyword(s):  
Big Data ◽  
Time Complexity ◽  
The Novel ◽  
Test Results ◽  
Utility Mining ◽  
Complex Issue ◽  
New Approach ◽  
Novel Approach ◽  
Using Data ◽  
Candidate Item

Information extracted by using data mining in earlier days. Now a day’s, the most talked about technology is Big Data. Utility Mining is the most crucial task in the real time application where the customers prefer to choose the item set which can yield more profit. Handling of large volume of transactional patterns becomes the complex issue in every application which is resolved in the existing work introducing the parallel utility mining process which will process the candidate item sets in the paralyzed manner by dividing the entire tasks into sub partition. Each sub partition would be processed in individual mapper and then be resulted with the final output value. The time complexity would be more when processing an unnecessary candidate item sets. This problem is resolved in the proposed methodology by introducing the novel approach called UP-Growth and UP-Growth+ which will prune the candidate item sets to reduce the dimension of the candidate item sets. The time complexity is further reduced by representing the candidate item sets in the tree layout. The test results prove that the proposed new approach provides better result than the existing work in terms of accuracy.

A Novel Approach to Discrimination in X-Ray Spectrographic Analysis

1958 ◽  
Vol 2 ◽  
pp. 229-237
Author(s):  
Paul Lublin
Keyword(s):  
Trace Element ◽  
Wave Length ◽  
Pulse Height ◽  
The Novel ◽  
Spectrographic Analysis ◽  
X Ray ◽  
Novel Approach ◽  
Excitation Potential ◽  
Considerable Loss

AbstractThere are various methods for handling the problem of interferences. One may me one of the weaker lines of the trace clement, but this results in considerable loss in the limit of detectability of this element. One may try pulse height discrimination techniques, but because of the linearity limitations of present day pulse height analyzers, complete elimination of the higher energy wave length is not possible. Another possible technique is to lower the kilovoltage below the excitation potential of the interfering element. This is satisfactory, but again the limit of detectability is raised for the trace element. There are many other “devices” which may be tried, but all of these involve a loss in sensitivity in the determination of the trace element.The “novel” approach involves the use of an analyzing crystal whose second order reflection is missing due to crystal structure considerations. Germanium or silicon, cut so that (111) planes are parallel to the surface of the crystal, would be satisfactory analyzers for this purpose. The use of one of these crystals and the application of this method to the niobium-tantalum and zirconium-hafnium systems are discussed.

Perencanaan Sistem Pengurangan Sampah Permukiman Bantaran Sungai Cidurian Kota Bandung

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Raka Maulana ◽  
Yulianti Pratama ◽  
Lina Apriyanti
Keyword(s):  
Waste Management ◽  
River Basin ◽  
River Flow ◽  
Waste Reduction ◽  
Residential Areas ◽  
Community Based ◽  
Inorganic Waste ◽  
Waste Bank ◽  
The City

<p>Some areas in the city of Bandung is an area that dilitasi by the flow of the river, to prevent the introduction of garbage into the river basin is necessary to note the waste management systems in residential areas along the river. Cidurian river has a length of 24.86 Km along the river flow. Consists of the city of Bandung and Bandung regency. Administrative regions Cidurian River past eight (8) districts, from the region in the District Kiaracondong precisely Village Babakan Babakan Sari and Surabaya populous and the most densely populated. Thus, there should be community-based waste management in the form of a reduction in resources to prevent potential entry of waste into the river basin. Planning waste reduction will be divided into two, namely the reduction of inorganic waste with waste bank then the reduction of organic waste with absorption holes biopori, and bio reactor mini determination of the reduction is determined by the results of the analysis of the sampling covers the composition and garbage, then the result of the measurement characteristics test and analysis results questionnaire.</p>

A novel method for the determination of linting propensity of paper

TAPPI Journal ◽  
2012 ◽  
Vol 11 (10) ◽  
pp. 9-17
Author(s):  
ALESSANDRA GERLI ◽  
LEENDERT C. EIGENBROOD
Keyword(s):  
Ash Content ◽  
The Novel ◽  
Offset Printing ◽  
Excellent Correlation ◽  
End Conditions ◽  
Bottom Side ◽  
Novel Method ◽  
Total Fraction

A novel method was developed for the determination of linting propensity of paper based on printing with an IGT printability tester and image analysis of the printed strips. On average, the total fraction of the surface removed as lint during printing is 0.01%-0.1%. This value is lower than those reported in most laboratory printing tests, and more representative of commercial offset printing applications. Newsprint paper produced on a roll/blade former machine was evaluated for linting propensity using the novel method and also printed on a commercial coldset offset press. Laboratory and commercial printing results matched well, showing that linting was higher for the bottom side of paper than for the top side, and that linting could be reduced on both sides by application of a dry-strength additive. In a second case study, varying wet-end conditions were used on a hybrid former machine to produce four paper reels, with the goal of matching the low linting propensity of the paper produced on a machine with gap former configuration. We found that the retention program, by improving fiber fines retention, substantially reduced the linting propensity of the paper produced on the hybrid former machine. The papers were also printed on a commercial coldset offset press. An excellent correlation was found between the total lint area removed from the bottom side of the paper samples during laboratory printing and lint collected on halftone areas of the first upper printing unit after 45000 copies. Finally, the method was applied to determine the linting propensity of highly filled supercalendered paper produced on a hybrid former machine. In this case, the linting propensity of the bottom side of paper correlated with its ash content.

Exploring normative perceptions and misperceptions of private, environmentally impactful behaviours

2020 ◽  
Author(s):  
Elaine Gallagher ◽  
Bas Verplanken ◽  
Ian Walker
Keyword(s):  
Social Norms ◽  
Behaviour Change ◽  
Social Contexts ◽  
The Novel ◽  
Normative Influence ◽  
Change Mechanism ◽  
Novel Approach ◽  
Classical Studies ◽  
Referent Group

Social norms have been shown to be an effective behaviour change mechanism across diverse behaviours, demonstrated from classical studies to more recent behaviour change research. Much of this research has focused on environmentally impactful actions. Social norms are typically utilised for behaviour change in social contexts, which facilitates the important element of the behaviour being visible to the referent group. This ensures that behaviours can be learned through observation and that deviations from the acceptable behaviour can be easily sanctioned or approved by the referent group. There has been little focus on how effective social norms are in private or non-social contexts, despite a multitude of environmentally impactful behaviours occurring in the home, for example. The current study took the novel approach to explore if private behaviours are important in the context of normative influence, and if the lack of a referent groups results in inaccurate normative perceptions and misguided behaviours. Findings demonstrated variance in normative perceptions of private behaviours, and that these misperceptions may influence behaviour. These behaviours are deemed to be more environmentally harmful, and respondents are less comfortable with these behaviours being visible to others, than non-private behaviours. The research reveals the importance of focusing on private behaviours, which have been largely overlooked in the normative influence literature.

The Use of TMAH to Etch Silicon and Expose Metal Bridging Failures

2000 ◽  
Author(s):  
Mark Morris ◽  
James Mohr ◽  
Esteban Ortiz ◽  
Steven Englebretson
Keyword(s):  
Failure Mechanism ◽  
Schottky Diodes ◽  
Tetramethylammonium Hydroxide ◽  
Novel Approach ◽  
Failure Location ◽  
Metal Etching ◽  
Plastic Mold

Abstract Determination of metal bridging failures on plastic encapsulated devices is difficult due to the metal etching effects that occur while removing many of the plastic mold compounds. Typically, the acids used to remove the encapsulation are corrosive to the metals that are found within the device. Thus, decapsulation can result in removal of the failure mechanism. Mechanical techniques are often not successful due to damage that results in destruction of the die and failure mechanism. This paper discusses a novel approach to these types of failures using a silicon etch and a backside evaluation. The desirable characteristics of the technique would be to remove the silicon and leave typical device metals unaffected. It would also be preferable that the device passivation and oxides not be etched so that the failure location is not disturbed. The use of Tetramethylammonium Hydroxide (TMAH), was found to fit these prerequisites. The technique was tested on clip attached Schottky diodes that exhibited resistive shorting. The use of the TMAH technique was successful at exposing thin solder bridges that extruded over the edge of the die resulting in failure.

Pencarian Question-Answer Menggunakan Convolutional Neural Network Pada Topik Agama Berbahasa Indonesia

2018 ◽  
Vol 10 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Rizqa Raaiqa Bintana ◽  
Chastine Fatichah ◽  
Diana Purwitasari
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Question Answering ◽  
Mean Average Precision ◽  
Average Precision ◽  
Community Based ◽  
Network Methods ◽  
The Mean ◽  
Index Terms ◽  
Search Information

Community-based question answering (CQA) is formed to help people who search information that they need through a community. One condition that may occurs in CQA is when people cannot obtain the information that they need, thus they will post a new question. This condition can cause CQA archive increased because of duplicated questions. Therefore, it becomes important problems to find semantically similar questions from CQA archive towards a new question. In this study, we use convolutional neural network methods for semantic modeling of sentence to obtain words that they represent the content of documents and new question. The result for the process of finding the same question semantically to a new question (query) from the question-answer documents archive using the convolutional neural network method, obtained the mean average precision value is 0,422. Whereas by using vector space model, as a comparison, obtained mean average precision value is 0,282. Index Terms—community-based question answering, convolutional neural network, question retrieval

Sign in / Sign up

Export Citation Format

Share Document