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    • 6. 发明授权
    • Data storage device and data storing method thereof
    • 数据存储装置及其数据存储方法
    • US08555000B2
    • 2013-10-08
    • US12761488
    • 2010-04-16
    • Myung Hyun JoSungchul KimJeonguk Kang
    • Myung Hyun JoSungchul KimJeonguk Kang
    • G06F12/00G06F13/00G06F13/28
    • G06F12/126
    • A data storage device and a data storing method thereof, including first main memories coupled to a plurality of channels, second main memories coupled to the plurality of channels in common, a buffer memory temporarily storing data to be programmed to the first and the second main memories; and a controller configured to program data of victim cache lines from the buffer memory to the second main memories while data of a first victim cache line from the buffer memory is being programmed to the first main memories. The storing method includes that a victim cache line is selected based on cost-based page replacement.
    • 一种数据存储设备及其数据存储方法,包括耦合到多个通道的第一主存储器,共同耦合到多个通道的第二主存储器,临时存储要编程到第一和第二主器件的数据的缓冲存储器 回忆 以及控制器,被配置为将来自缓冲存储器的第一受害者高速缓存行的数据正被编程到第一主存储器中,将缓冲存储器行的数据从缓冲存储器编程到第二主存储器。 存储方法包括基于成本的页面替换来选择受害者高速缓存行。
    • 10. 发明申请
    • ATTRACTIVENESS-BASED ONLINE ADVERTISEMENT CLICK PREDICTION
    • 基于吸引力的在线广告点击预测
    • US20130211905A1
    • 2013-08-15
    • US13372358
    • 2012-02-13
    • Tao QinTie-Yan LiuSungchul Kim
    • Tao QinTie-Yan LiuSungchul Kim
    • G06Q30/02
    • G06Q30/0242
    • The probability that a user clicks on an online advertisement may be dependent on an attractiveness of the online advertisement. In determining such click probability, an advertisement attractiveness model for estimating an attractiveness of an online advertisement to users may be developed. A click behavior model is then created by combining the advertisement attractiveness model with a relevance model. The relevance model may be used for estimating relevance between the online advertisement and a search query. The click behavior model may be applied to features extracted from the online advertisement to calculate a click probability for the online advertisement.
    • 用户点击在线广告的概率可能取决于在线广告的吸引力。 在确定这种点击概率时,可以开发用于估计在线广告对用户的吸引力的广告吸引力模型。 然后通过将广告吸引力模型与相关性模型相结合来创建点击行为模型。 相关性模型可用于估计在线广告和搜索查询之间的相关性。 点击行为模型可以应用于从在线广告中提取的特征,以计算在线广告的点击概率。