• Title, Summary, Keyword: Ratings

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Multiple Average Ratings of Auditory Perceptual Analysis for Dysphonia

  • Choi, Seong-Hee;Choi, Hong-Shik
    • Phonetics and Speech Sciences
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    • v.1 no.4
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    • pp.165-170
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    • 2009
  • This study was to investigate for comparison between single rating and average ratings from multiple presentations of the same stimulus for measuring the voice quality of dysphonia using 7-point equal-appearing interval (EAI) rating scale. Overall severity of voice quality for 46 /a/ vowel stimuli (23 stimuli from dysphonia, 23 stimuli from control) was rated by 3 experienced speech-language pathologists (averaged 19 years; range = 7 to 40 years). For average ratings, each stimulus was rated five times in random order and averaged from two to five times. Although higher inter-rater reliability was found in average ratings than in single rating, there were no significant differences in rating scores between single and multiple average ratings judged by experienced listeners, suggesting that auditory perceptual ratings judged by well-trained listeners have relatively good agreement with the same stimulus across the judgment. Larger variations in perceptual ratings were observed for moderate voices than for mild or severe voices, even in the average ratings.

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Number of Ratings and Performance in Collaborative Filtering-based Product Recommendation (협업 필터링 기반 상품 추천에서의 평가 횟수와 성능)

  • Lee Hong-Joo;Park Sung-Joo;Kim Jong-Woo
    • Journal of the Korean Operations Research and Management Science Society
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    • v.31 no.2
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    • pp.27-39
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    • 2006
  • The Collaborative Filtering (CF) is one of the popular techniques for personalization in e-commerce storefronts. For CF-based recommendation, every customer needs to provide subjective evaluation ratings for some products based on his/her preference. Also, if an e-commerce site recommends a new product, some customers should rate it. However, there is no in-depth investigation on the impacts on recommendation performance of two number of ratings, i.e. the number of ratings of an individual customer and the number of ratings of an item, even though these are important factors to determine performance of CF methods. In this study, using publicly available EachMovie data set, we empirically investigate the relationships between the two number of ratings and the performance of CF. For the purpose, three analyses were executed. The first and second analyses were performed to investigate the relationship between the number of ratings of a particular customer and the recommendation performance of CF. In the third analysis, we investigate the relationship between the number of ratings on a particular item and the recommendation performance of CF. From these experiments, we can find that there are thresholds in terms of the number of ratings below which the recommendation performances increase monotonically. That is, the number of ratings of a customer and the number of ratings on an item are critical to the recommendation performance of CF when the number of ratings is less than the thresholds, but the value of the ratings decreases after the numbers of ratings pass the thresholds. The results of the experiments provide insight to making operational decisions concerning collaborative filtering in practice.

Online Reviews Analysis for Prediction of Product Ratings based on Topic Modeling (토픽 모델링에 기반한 온라인 상품 평점 예측을 위한 온라인 사용 후기 분석)

  • Park, Sang Hyun;Moon, Hyun Sil;Kim, Jae Kyeong
    • Journal of Information Technology Services
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    • v.16 no.3
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    • pp.113-125
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    • 2017
  • Customers have been affected by others' opinions when they make a purchase. Thanks to the development of technologies, people are sharing their experiences such as reviews or ratings through online or social network services, However, although ratings are intuitive information for others, many reviews include only texts without ratings. Also, because of huge amount of reviews, customers and companies can't read all of them so they are hard to evaluate to a product without ratings. Therefore, in this study, we propose a methodology to predict ratings based on reviews for a product. In a methodology, we first estimate the topic-review matrix using the Latent Dirichlet Allocation technic which is widely used in topic modeling. Next, we predict ratings based on the topic-review matrix using the artificial neural network model which is based on the backpropagation algorithm. Through experiments with actual reviews, we find that our methodology can predict ratings based on customers' reviews. And our methodology performs better with reviews which include certain opinions. As a result, our study can be used for customers and companies that want to know exactly a product with ratings. Moreover, we hope that our study leads to the implementation of future studies that combine machine learning and topic modeling.

User Reputation computation Method Based on Implicit Ratings on Social Media

  • Bok, Kyoungsoo;Yun, Jinkyung;Kim, Yeonwoo;Lim, Jongtae;Yoo, Jaesoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.3
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    • pp.1570-1594
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    • 2017
  • Social network services have recently changed from environments for simply building connections among users to open platforms for generating and sharing various forms of information. Existing user reputation computation methods are inadequate for determining the trust in users on social media where explicit ratings are rare, because they determine the trust in users based on user profile, explicit relations, and explicit ratings. To solve this limitation of previous research, we propose a user reputation computation method suitable for the social media environment by incorporating implicit as well as explicit ratings. Reliable user reputation is estimated by identifying malicious information raters, modifying explicit ratings, and applying them to user reputation scores. The proposed method incorporates implicit ratings into user reputation estimation by differentiating positive and negative implicit ratings. Moreover, the method generates user reputation scores for individual categories to determine a given user's expertise, and incorporates the number of users who participated in rating to determine a given user's influence. This allows reputation scores to be generated also for users who have received no explicit ratings, and, thereby, is more suitable for social media. In addition, based on the user reputation scores, malicious information providers can be identified.

Analysis of the Number of Ratings and the Performance of Collaborative Filtering (사용자의 평가 횟수와 협동적 필터링 성과간의 관계 분석)

  • Lee, Hong-Ju;Kim, Jong-U;Park, Seong-Ju
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • pp.629-638
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    • 2005
  • In this paper, we consider two issues in collaborative filtering, which are closely related with the number of ratings of a user. First issue is the relationship between the number of ratings of a user and the performance of collaborative filtering. The relationship is investigated with two datasets, EachMovie and Movielens datasets. The number of ratings of a user is critical when the number of ratings is small, but after the number is over a certain threshold, its influence on recommendation performance becomes smaller. We also provide an explanation on the relationship between the number of ratings of a user and the performance in terms of neighborhood formations in collaborative filtering. The second issue is how to select an initial product list for new users for gaining user responses. We suggest and analyze 14 selection strategies which include popularity, favorite, clustering, genre, and entropy methods. Popularity methods are adequate for getting higher number of ratings from users, and favorite methods are good for higher average preference ratings of users.

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A Comparative Study on the Consciousness of Officers and Ratings in Merchant Ships' Organization (상선조직에서의 사관과 부원의 의식구조에 관한 비교연구)

  • 김길수;이윤철;공길영
    • Journal of the Korean Institute of Navigation
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    • v.16 no.3
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    • pp.55-64
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    • 1992
  • Officers and ratings as a group might show differences in some aspects of personality , human relations, job attitudes, perception of business environment and surrounding organizational structure. It has been traditionally believed that licenced-officers are required to have nicely-paired leadership and dignity , and ratings obedience in maritime field. This survey revealed that officers and ratings have some differences in the actual behavior, knowledge , understanding attitude etc., In summary , officers as a superstructure of merchant ship's orgnaization are different, to some degree, from ratings as an infrastructure in several aspects. Officers are believed to have the characteristics of maturity by taking concern of business environment , social circumstance away from the vessels which they are on board. In contrast, ratings are greatly interested in the surrounding environment associated with themselves, and also experiencing alienation and technology.

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Identifying and Exploiting Trustable Users with Robust Features in Online Rating Systems

  • Oh, Hyun-Kyo;Kim, Sang-Wook
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.4
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    • pp.2171-2195
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    • 2017
  • When purchasing an online product, a customer tends to be influenced strongly by its reputation, the aggregation of other customers' ratings on it. The reputation, however, is not always trustable since it can be manipulated easily by attackers who intentionally give unfair ratings to their target products. In this paper, we first address identifying trustable users who tend to give fair ratings to products in online rating systems and then propose a method of computing true reputation of a product by aggregating only those trustable users' ratings. In order to identify the trustable users, we list some candidate features that seem related significantly to the trustworthiness of users and verify the robustness of each of the features through extensive experiments. By finding and exploiting these robust features, we are able to identify trustable users and to compute true reputation effectively and efficiently based on fair ratings of those trustable users.

Relationship Between Terrestrial Broadcasting Services Viewing and OTT VOD Usage (지상파 방송 실시간 시청과 OTT VOD 이용 간의 관계)

  • Cho, Suk-Hyun;Lee, Hyun-Ji
    • The Journal of the Korea Contents Association
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    • v.18 no.8
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    • pp.315-325
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    • 2018
  • The purpose of this study is to search the correlation between real-time viewing and OTT VOD usage. The study is based on the ratings and VOD download data, collected from TNmS and pooq. And this study focused on the ratings, 2049 ratings, OTT VOD download over the past 7 days, OTT VOD download over the past 30 days. The results showed that there were positive correlation in all genres(drama, entertainment, current affairs). First, there was a correlation between ratings and OTT VOD download over the past 7 days, between 2049 ratings and OTT VOD download over the past 7 days. Next, there was a correlation between ratings and OTT VOD download over the past 30 days, between 2049 ratings and OTT VOD download over the past 30 days. Finally, there was somewhat different among rankings of the ratings and VOD download.

Exploration of Fit Reviews and its Impact on Ratings of Rental Dresses

  • Shin, Eonyou;McKinney, Ellen
    • Fashion, Industry and Education
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    • v.15 no.2
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    • pp.1-10
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    • 2017
  • The purposes of this study were to explore (1) how fit reviews differ among height groups and (2) how overall numerical ratings differ depending on height groups and ifferent types of fit reviews. Content analysis was used to analyze systematically sampled online consumer reviews (OCRs) of formalwear dresses rented online. In part 1, 201 OCRs were analyzed to develop the coding scheme, which included three aspects of fit (physical, aesthetic, and functional), valence (negative, neutral, positive), and overall numerical rating. In part 2, 600 OCRs were coded and statistically analyzed. Differences in frequency were not found among height groups for any types of mentions (negative, neutral, and positive) in terms of the three aspects of fit in the OCRs. Differences in overall mean ratings were not found among height groups. Interestingly, valence of each aspect of fit reviews affected mean numeric ratings. This study is new in examining relationships among textual information (i.e., fit reviews), numerical information (i.e., numerical rating), and reviewer's characteristic (i.e., height). The results of this study offered practical implications for etailers and marketers that they should pay attention to the three aspects of fit reviews and monitor garments with negative fit evaluations for lower ratings. They may attempt to increase ratings by providing customers recommendations to get a better fit.

Bond Ratings, Corporate Governance, and Cost of Debt: The Case of Korea

  • Han, Seung-Hun;Kang, Kichun;Shin, Yoon S.
    • The Journal of Asian Finance, Economics, and Business
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    • v.3 no.3
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    • pp.5-15
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    • 2016
  • This study examines whether Korean rating agencies such as Korea Investors Service (KIS), National Information & Credit Evaluation (NICE), and Korea Ratings Corporation (KR), incorporate corporate governance into their corporate bond ratings in Korea. We find that the Korean rating agencies assign higher ratings to the bonds issued by Chaebol (Korean business group) affiliated firms. Our results also indicate that those rating agencies give higher ratings to the bonds with greater foreign investor share ownership. Moreover, if the rating agencies value corporate governance, higher rated firms should issue bonds at lower yield to maturity. We discover that Chaebol affiliation is counted favorably by the rating agencies. We find that investors are willing to pay lower risk premium for bonds with higher institutional ownership, but higher risk premium to bonds with greater equity ownership in the form of depository receipts. Therefore, even if the rating agencies and investors in Korea consider corporate governance (Chaebol affiliation and ownership structure) an important determinant in bond ratings and the yields to maturity, they have opposite views on institutional ownership and share ownership in the form of depository receipts.