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Search Results (5)
  • Open Access

    ARTICLE

    SPN-Based Performance Analysis of Multiple Users’ Behaviors for SNS

    Zhiguo Hong1,*, Yongbin Wang2,3, Minyong Shi4

    Journal of Information Hiding and Privacy Protection, Vol.4, No.1, pp. 1-13, 2022, DOI:10.32604/jihpp.2022.026440

    Abstract With the rapid development of various applications of Information Technology, big data are increasingly generated by social network services (SNS) nowadays. The designers and providers of SNS distribute different client applications for PC, Mobile phone, IPTV etc., so that users can obtain related service via mobile or traditional Internet. Good scalability and considerably short time delay are important indices for evaluating social network systems. As a result, investigating and mining the principle of users’ behaviors is an important issue which can guide service providers to establish optimal systems with SNS. On the basis of analyzing the characteristics of social network… More >

  • Open Access

    ARTICLE

    Arabic Sentiment Analysis of Users’ Opinions of Governmental Mobile Applications

    Mohammed Hadwan1,2,3,*, Mohammed A. Al-Hagery4, Mohammed Al-Sarem5, Faisal Saeed5,6

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4675-4689, 2022, DOI:10.32604/cmc.2022.027311

    Abstract Different types of pandemics that have appeared from time to time have changed many aspects of daily life. Some governments encourage their citizens to use certain applications to help control the spread of disease and to deliver other services during lockdown. The Saudi government has launched several mobile apps to control the pandemic and have made these apps available through Google Play and the app store. A huge number of reviews are written daily by users to express their opinions, which include significant information to improve these applications. The manual processing and extracting of information from users’ reviews is an… More >

  • Open Access

    ARTICLE

    Location-Aware Personalized Traveler Recommender System (LAPTA) Using Collaborative Filtering KNN

    Mohanad Al-Ghobari1, Amgad Muneer2,*, Suliman Mohamed Fati3

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1553-1570, 2021, DOI:10.32604/cmc.2021.016348

    Abstract Many tourists who travel to explore different cultures and cities worldwide aim to find the best tourist sites, accommodation, and food according to their interests. This objective makes it harder for tourists to decide and plan where to go and what to do. Aside from hiring a local guide, an option which is beyond most travelers’ budgets, the majority of sojourners nowadays use mobile devices to search for or recommend interesting sites on the basis of user reviews. Therefore, this work utilizes the prevalent recommender systems and mobile app technologies to overcome this issue. Accordingly, this study proposes location-aware personalized… More >

  • Open Access

    ARTICLE

    The Impact of Privacy Seal on Users’ Perception in Network Transactions

    Jing Chen,Yuchen Luo2,†, Ruiqi Du3,‡

    Computer Systems Science and Engineering, Vol.35, No.3, pp. 199-206, 2020, DOI:10.32604/csse.2020.35.199

    Abstract In the age of big data, the issue of online privacy has attracted much attention from all sectors. The introduction and establishment of an evaluation system for the privacy agreement based on a third party, together with the establishment of a safer internet transaction environment, can help to establish mutual trust between users and the platform. With the research background links to the online trading platform, this article investigates how the privacy seal which is provided by the third-party evaluation organization influences and addresses trust-awareness and privacy concerns of users, as well as exposing information and purchasing data. According to… More >

  • Open Access

    ARTICLE

    TdBrnn: An Approach to Learning Users’ Intention to Legal Consultation with Normalized Tensor Decomposition and Bi-LSTM

    Xiaoding Guo1, Hongli Zhang1, *, Lin Ye1, Shang Li1

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 315-336, 2020, DOI:10.32604/cmc.2020.07506

    Abstract With the development of Internet technology and the enhancement of people’s concept of the rule of law, online legal consultation has become an important means for the general public to conduct legal consultation. However, different people have different language expressions and legal professional backgrounds. This phenomenon may lead to the phenomenon of different descriptions of the same legal consultation. How to accurately understand the true intentions behind different users’ legal consulting statements is an important issue that needs to be solved urgently in the field of legal consulting services. Traditional intent understanding algorithms rely heavily on the lexical and semantic… More >

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