• Title, Summary, Keyword: User

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Cross-Product Category User Profiling for E-Commerce Personalized Recommendation (전자상거래 개인화 추천을 위한 상품 카테고리 중립적 사용자 프로파일링)

  • Park, Soo-Hwan;Lee, Hong-Joo;Cho, Nam-Jae;Kim, Jong-Woo
    • Asia pacific journal of information systems
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    • v.16 no.3
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    • pp.159-176
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    • 2006
  • Collaborative filtering is one of the popular techniques for personalized recommendation in e-commerce. In collaborative filtering, user profiles are usually managed per product category in order to reduce data sparsity. Product diversification of Internet storefronts and multiple product category sales of e-commerce portals require cross-product category usage of user profiles in order to overcome the cold start problem of collaborative filtering. In this paper, we study the feasibility of cross-product category usage of user profiles, and suggest a method to improve recommendation performance of cross-product category user profiling. First, we investigate whether user profiles on a product category can be used to recommend products in other product categories. Furthermore, a way of utilizing user profiles selectively is suggested to increase recommendation performance of cross-product category user profiling. The feasibility of cross-product category user profiling and the usefulness of the proposed method are tested with real click stream data of an Internet storefront which sells multiple product categories including books, music CDs, and DVDs. The experiment results show that user profiles on a product category can be used to recommend products in other product categories. Also, the selective usage of user profiles based on correlations between subcategories of two product categories provides better performance than the whole usage of user profiles.

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.

A Study on the effects of Career Development Center Website Users' recognition on Contents Characteristics on User Responses (취업정보센터 웹사이트 이용자의 컨텐츠 특성에 대한 지각이 이용자 반응에 미치는 영향)

  • Seo, Da-hye;Kang, Hye-young
    • Journal of Practical Engineering Education
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    • v.6 no.2
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    • pp.111-117
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    • 2014
  • The purpose of this study aims to examine the effects of Career Development Center website users' recognition on contents characteristics (User Convenience, Information, Customer Service) on user responses (User Satisfaction, User Loyalty). According to the research result, first, Career Development Center of website contents characteristics explained 36.4% User satisfaction, it was affected significantly Information, User Convenience, and Customer Service in order. Second, Career Development Center of website contents characteristics explained 36.2% User loyalty, it was affected significantly Information, Customer Service, and User Convenience in order. Thus, it was important that Web site contents was improved the Users satisfaction and loyalty of Career Development Center Web site.

Performance of ZF Precoder in Downlink Massive MIMO with Non-Uniform User Distribution

  • Kong, Chuili;Zhong, Caijun;Zhang, Zhaoyang
    • Journal of Communications and Networks
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    • v.18 no.5
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    • pp.688-698
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    • 2016
  • In this paper, we investigate the achievable sum rate and energy efficiency of downlink massive multiple-input multiple-output antenna systems with zero-forcing precoding, by taking into account the randomness of user locations. Specifically, we propose two types of non-uniform user distributions, namely, center-intensive user distribution and edge-intensive user distribution. Based on these user distributions, we derive novel tight lower and upper bounds on the average sum rate. In addition, the impact of user distributions on the optimal number of users maximizing the sum rate is characterized. Moreover, by adopting a realistic power consumption model which accounts for the transmit power, circuit power and signal processing power, the energy efficiency of the system is studied. In particular, closed-form solutions for the key system parameters, such as the number of antennas and the optimal transmit signal-to-noise ratio maximizing the energy efficiency, are obtained. The findings of the paper suggest that user distribution has a significant impact on the system performance: for instance, the highest average sum rate is achieved with the center-intensive user distribution, while the lowest average sum rate is obtained with the edge-intensive user distribution. Also, more users can be served with the center-intensive user distribution.

Ranking Decision Method of Retrived Documents Using User Profile (사용자 프로파일을 이용한 문서 순위 결정방법)

  • Kim, Yong-Ho;Kim, Hyung-Gyun;Choi, Gwang-Mi
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.615-618
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    • 2005
  • This dissertation proposes a technique of user centered document ranking using User Profile to provide more satisfied results whitch feflect preference of speccific user. User Profile is comstructed to represent his reference of the user.

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Energy Efficient Transmit and Receive Strategy for Green Communications: K users extension

  • Oh, Changyoon
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.10
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    • pp.37-42
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    • 2016
  • We investigate multi user joint rate scheduling and power allocation problem for a delay sensitive CDMA systems. First, we characterize the existing two user joint rate scheduling and power allocation. We then extend the problem to the case of the multi user systems. In general, there is no simple optimum solution for the multi user scheduling problem. To that end, we propose a sub optimum solution, termed 'virtual user approach'. We show the performance of the virtual user approach to verify the benefit of complexity.

An Analysis Method of User Preference by using Web Usage Data in User Device (사용자 기기에서 이용한 웹 데이터 분석을 통한 사용자 취향 분석 방법)

  • Lee, Seung-Hwa;Choi, Hyoung-Kee;Lee, Eun-Seok
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.3
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    • pp.189-199
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    • 2009
  • The amount of information on the Web is explosively growing as the Internet gains in popularity. However, only a small portion of the information on the Web is truly relevant or useful to the user. Thus, offering suitable information according to user demand is an important subject in information retrieval. In e-commerce, the recommender system is essential to revitalize commercial transactions, raise user satisfaction and loyalty towards the information provider. The existing recommender systems are mostly based on user data collected at servers, so user data are dispersed over several servers. Therefore, web servers that lack sufficient user behavior data cannot easily infer user preferences. Also, if the user visits the server infrequently, it may be hard to reflect the dynamically changing user's interest. This paper proposes a novel personalization system analyzing the user preference based on web documents that are accessed by the user on a user device. The system also identifies non-content blocks appearing repeatedly in the dynamically generated web documents, and adds weight to the keywords extracted from the hyperlink sentence selected by the user. Therefore, the system establishes at an early stage recommendation strategies for the web server that has little user data. Also, user profiles are generated rapidly and more accurately by identifying the information blocks. In order to evaluate the proposed system, this study collected web data and purchase history from users who have current purchase activity. Then, we computed the similarity between purchase data and the user profile. We confirm the accuracy of the generated user profile since the web page containing the purchased item has higher correlation than other item pages.

The Influence of Characteristics of Local Government Web-sites on User Satisfaction and Trust (자치단체 웹사이트의 특성이 사용자 만족과 신뢰에 미치는 영향)

  • Song, Ju Hyun;Park, Jong Hun
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.42 no.3
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    • pp.39-51
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    • 2019
  • This paper is an exploratory study to investigate the influence of characteristics of local government web-sites on user satisfaction and trust. The objective of this research is to identify the characteristics of local government web-sites influencing on user satisfaction and trust, and determine how they affect user satisfaction and trust. From the literature review, we identify four characteristics which are expected to influence on user satisfaction: technical, information, customer-oriented, and work-performing characteristics. In addition, we develop research model that the four characteristics are expected to affect user satisfaction and trust via users' perceived values. The results of the research are as follows. The technical, customer-oriented, and work-performing characteristics significantly affects perceived values, which significantly affected user satisfaction and trust. Perceived value is partially mediated by user satisfaction in affecting user trust. The characteristics of local government web-sites affecting perceived values differed partially by the purpose of visitor. As for the personal goal, the technical, customer-oriented, and work-performing characteristics significantly affect perceived values, with the technical and customer-oriented characteristics having more significant effects. As for the business goal, the technical, information, work-performing characteristics significantly affected perceived values, with information characteristics having more significant effects.

Energy-Efficient Scheduling with Delay Constraints in Time-Varying Uplink Channels

  • Kwon, Ho-Joong;Lee, Byeong-Gi
    • Journal of Communications and Networks
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    • v.10 no.1
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    • pp.28-37
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    • 2008
  • In this paper, we investigate the problem of minimizing the average transmission power of users while guaranteeing the average delay constraints in time-varying uplink channels. We design a scheduler that selects a user for transmission and determines the transmission rate of the selected user based on the channel and backlog information of users. Since it requires prohibitively high computation complexity to determine an optimal scheduler for multi-user systems, we propose a low-complexity scheduling scheme that can achieve near-optimal performance. In this scheme, we reduce the complexity by decomposing the multiuser problem into multiple individual user problems. We arrange the probability of selecting each user such that it can be determined only by the information of the corresponding user and then optimize the transmission rate of each user independently. We solve the user problem by using a dynamic programming approach and analyze the upper and lower bounds of average transmission power and average delay, respectively. In addition, we investigate the effects of the user selection algorithm on the performance for different channel models. We show that a channel-adaptive user selection algorithm can improve the energy efficiency under uncorrelated channels but the gain is obtainable only for loose delay requirements in the case of correlated channels. Based on this, we propose a user selection algorithm that adapts itself to both the channel condition and the backlog level, which turns out to be energy-efficient over wide range of delay requirement regardless of the channel model.

On Power Splitting under User-Fairness for Correlated Superposition Coding NOMA in 5G System

  • Chung, Kyuhyuk
    • International journal of advanced smart convergence
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    • v.9 no.2
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    • pp.68-75
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    • 2020
  • Non-orthogonal multiple access (NOMA) has gained the significant attention in the fifth generation (5G) mobile communication, which enables the advanced smart convergence of the artificial intelligence (AI), the internet of things (IoT), and many of the state-of-the-art technologies. Recently, correlated superposition coding (SC) has been proposed in NOMA, to achieve the near-perfect successive interference cancellation (SIC) bit-error rate (BER) performance for the stronger channel users, and to mitigate the severe BER performance degradation for the weaker channel users. In the correlated SC NOMA scheme, the stronger channel user BER performance is even better than the perfect SIC BER performance, for some range of the power allocation factor. However, such excessively good BER performance is not good for the user-fairness, i.e., the more power to the weaker channel user and the less power to the stronger channel user, because the excessively good BER performance of the stronger channel user results in the worse BER performance of the weaker channel user. Therefore, in this paper, we propose the power splitting to establish the user-fairness between both users. First, we derive a closed-form expression for the power splitting factor. Then it is shown that in terms of BER performance, the user-fairness is established between the two users. In result, the power splitting scheme could be considered in correlated SC NOMA for the user-fairness.