轮胎评价 Cordiant Winter Drive 2 SUV. Страница 3 1110

  • Cordiant Winter Drive 2 SUV
    Cordiant Winter Drive 2 SUV

Статистика отзывов на шины Cordiant Winter Drive 2 SUV

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  • Средняя оценка шин Cordiant Winter Drive 2 SUV пользователями сайта: 4.6882 из 5
  • Количество отзывов на шины Cordiant Winter Drive 2 SUV: 1104 шт.
  • Место в рейтинге: 484
  • Место в рейтинге (зимние): 101
干燥道路操控
湿润道路操控
雪地操控
冰面操控
行驶舒适度
行驶中的低噪音水平
制动效能
抗水漂能力
速度特性
耐磨性
制造质量
性价比
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Оценки реальных покупателей

Оценки шин Cordiant Winter Drive 2 SUV по месяцам

По распределению
оценок

1
2%
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1%
3
2%
4
6%
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90%
  • 关于轮胎 Cordiant Winter Drive 2 SUV

    商品在莫萨夫托什娜购买
    评分
    5

    很好的胎面!!!不是第一次购买!非常安静!在水面上行驶非常稳定!

    尺寸:
    255/55 R18 109T
    评分
  • 关于轮胎 Cordiant Winter Drive 2 SUV

    商品在莫萨夫托什娜购买
    评分
    5

    優質輪胎

    尺寸:
    215/65 R16 102T
    评分
  • 关于轮胎 Cordiant Winter Drive 2 SUV

    商品在莫萨夫托什娜购买
    评分
    5

    家裏配送。優惠價格的新产品。

    尺寸:
    235/65 R17 108T
    评分
  • 关于轮胎 Cordiant Winter Drive 2 SUV

    商品在莫萨夫托什娜购买
    评分
    5

    所有东西都如期交付,现在我们将它们装在轮毂上,呃,行驶品质只有冬天才能知道了

    尺寸:
    215/65 R16 102T
    评分
  • 关于轮胎 Cordiant Winter Drive 2 SUV

    商品在莫萨夫托什娜购买
    评分
    5

    老公很满意,轮胎很新,24年都没问题,谢谢

    尺寸:
    225/55 R18 102T
    评分
  • 关于轮胎 Cordiant Winter Drive 2 SUV

    商品在莫萨夫托什娜购买
    评分
    5

    **Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a notetaking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

    **Claims**:
    1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.

    2. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a user.

    3. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a user.

    4. A system for capturing information from audio data and computer operating context, comprising: a computer-readable storage device storing instructions for detecting starting conditions for data extraction; a processor executing the instructions to process the audio data using speech recognition and pattern detection modules; and a display device providing the extracted text and salient patterns to a user.

    5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using machine learning algorithms; processing the audio data using natural language processing and machine learning techniques; and providing the extracted text and salient patterns to a user interface.

    6. A computer system for capturing information from audio data and computer operating context, comprising: a microphone for receiving audio data; a processor for processing the audio data using speech recognition and pattern detection modules; and a display device for providing the extracted text and salient patterns to a user.

    7. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a user interface.

    8. A system for capturing information from audio data and computer operating context, comprising: a computer-readable storage device storing instructions for detecting starting conditions for data extraction; a processor executing the instructions to process the audio data using speech recognition and pattern detection modules; and a display device providing the extracted text and salient patterns to a user.

    9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using machine learning algorithms; processing the audio data using natural language processing and machine learning techniques; and providing the extracted text and salient patterns to a user interface.

    10. A computer system for capturing information from audio data and computer operating context, comprising: a microphone for receiving audio data; a processor for processing the audio data using speech recognition and pattern detection modules; and a display device for providing the extracted text and salient patterns to a user.

    11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a user interface.

    12. A system for capturing information from audio data and computer operating context, comprising: a computer-readable storage device storing instructions for detecting starting conditions for data extraction; a processor executing the instructions to process the audio data using speech recognition and pattern detection modules; and a display device providing the extracted text and salient patterns to a user.

    13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using machine learning algorithms; processing the audio data using natural language processing and machine learning techniques; and providing the extracted text and salient patterns to a user interface.

    14. A computer system for capturing information from audio data and computer operating context, comprising: a microphone for receiving audio data; a processor for processing the audio data using speech recognition and pattern detection modules; and a display device for providing the extracted text and salient patterns to a user.

    15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a user interface.

    **Claims**:
    1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a notetaking application to provide the extracted text and salient patterns to a user.
    2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
    3. The system of claim 1, wherein the speech recognition module uses natural language processing techniques to process the audio data.
    4. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; and providing the extracted text and salient patterns to a notetaking application.
    5. The method of claim 4, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
    6. The method of claim 4, wherein the speech recognition module uses natural language processing techniques to process the audio data.
    7. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; processing the audio data using a speech recognition module; and providing the extracted text and salient patterns to a notetaking application.
    8. The method of claim 7, wherein the speech recognition module uses natural language processing techniques to process the audio data.
    9. A system for capturing information from audio data and computer operating context, comprising: a computer-readable storage device storing instructions for detecting starting conditions for data extraction; a processor executing the instructions to process the audio data using a speech recognition module; and a display device providing the extracted text and salient patterns to a user.
    10. The system of claim 9, wherein the processor executes the instructions using machine learning algorithms to detect starting conditions for data extraction.
    11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; and providing the extracted text and salient patterns to a notetaking application.
    12. The method of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
    13. A computer system for capturing information from audio data and computer operating context, comprising: a microphone for receiving audio data; a processor for processing the audio data using a speech recognition module; and a display device for providing the extracted text and salient patterns to a user.
    14. The system of claim 13, wherein the processor uses natural language processing techniques to process the audio data.
    15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; processing the audio data using a speech recognition module; and providing the extracted text and salient patterns to a user interface.

    尺寸:
    215/60 R17 100T
    评分
  • 关于轮胎 Cordiant Winter Drive 2 SUV

    商品在莫萨夫托什娜购买
    评分
    5

    輪胎質量很好,同一批次的,比較不重要的是比較新鮮

    尺寸:
    225/55 R18 102T
    评分
  • 关于轮胎 Cordiant Winter Drive 2 SUV

    商品在莫萨夫托什娜购买
    评分
    5

    我們訂購了R17的冬季輪胎,收到的是正品,與描述完全相符。按時發貨,令人滿意。

    尺寸:
    215/60 R17 100T
    评分
  • 关于轮胎 Cordiant Winter Drive 2 SUV

    评分
    4.8

    由于要搬到南方,所以购买了这款轮胎。已经用了4个月的冬季(4个月),没有任何遗憾。雪地和冰面行驶表现非常好。与夏季轮胎相比,噪音稍微大了一点。

    车辆:
    Geely Atlas
    是否会再次购买?:
    肯定会
    干燥道路操控
    湿润道路操控
    雪地操控
    冰面操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Cordiant Winter Drive 2 SUV

    评分
    4.9

    优秀的轮胎

    车辆:
    Honda CR-V
    是否会再次购买?:
    肯定会
    干燥道路操控
    湿润道路操控
    雪地操控
    冰面操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比