Abstract:
A method and system for configuring a complex network and a server resource configuration and management module are provided. The method comprises: obtaining an access record of each cloud computing server in a cloud server pool in a network; constructing a complex network model according to the access record(s); performing a community division process to the complex network model to obtain a community structure and memberships of members in each community; and configuring a structure of the network according to the community structure and the memberships of the members in each community. The provided technical scheme is applicable to a cloud computing network. The method and system for configuring a complex network and the server resource configuration and management module, realize configuring the network according to the usage of each cloud computing server in the current network, solve the problem of no mechanism for configuring a cloud computing network reasonably.
Abstract:
This application describes a system and method for estimating user intent towards categories of content. The estimation of user intent may be based at least in part on a score for prior user actions and a decay function that is applied to that score to provide an estimate of current user intent. The estimate represents current user intent for time periods in which user actions towards a category of content are negligible or non-existent.
Abstract:
Some implementations provide techniques for determining which URLs to select for crawling from a pool of URLs. For example, the selection of URLs for crawling may be made based on maintaining a high coverage of the known URLs and/or high discoverability of the World Wide Web. Some implementations provide a multi-level coverage strategy for crawling selection. Further, some implementations provide techniques for discovering unseen URLs.
Abstract:
Method for determining a webpage importance, including receiving web browsing behavior data of one or more users; creating a model of the web browsing behavior data; calculating a stationary probability distribution of the model; and correlating the stationary probability distribution to the webpage importance.
Abstract:
A calculate importance system calculates the global importance of a web page based on a “mean hitting time.” Hitting time of a target web page is a measure of the minimum number of transitions needed to land on the target web page. Mean hitting time of a target web page is an average number of such transitions for all possible starting web pages. The calculate importance system calculates a global importance score for a web page based on the reciprocal of a mean hitting time. A search engine may rank web pages of a search result based on a combination of relevance of the web pages to the search request and global importance of the web pages based on a global hitting time.
Abstract:
A method and system for determining temporal importance of documents having links between documents based on a temporal analysis of the links is provided. A temporal ranking system collects link information or snapshots indicating the links between documents at various snapshot times. The temporal ranking system calculates a current temporal importance of a document by factoring in the current importance of the document derived from the current snapshot (i.e., with the latest snapshot time) and the historical importance of the document derived from the past snapshots. To calculate the current temporal importance of a web page, the temporal ranking system aggregates the importance of the web page for each snapshot.
Abstract:
Methods for expansion of antigen-specific T cells are provided. Said methods include following steps: generating antigen-specific T cells by stimulation of T cells with antigen A; introducing genes encoding immune recognition molecule specific to major histocompatibility complex (MHC) molecule bound with a peptide derived from antigen B into the antigen A specific T cell to produce bi-specific T cells recognizing both target cells expressing antigen A peptide associated MHC and target cells expressing antigen B peptide associated MHC; stimulating the bi-specific T cells by antigen A for expansion of the bi-specific T cells in vitro or in vivo. Methods of the present invention can be applied to expand various of T cells with specific to cancer cells with tumor antigen peptide loaded MHC molecules for adoptive therapy against unmet medical need such as tumors etc.
Abstract:
The present disclosure provides a resistive-switching device capable of implementing multiary addition operation and a method for implementing multiary addition operation using the resistive-switching device. The resistive-switching device has a plurality of resistance values each corresponding to a respective data value stored by the resistive-switching device and ranging from a high resistance value to a low resistance value. The data value stored by the resistive-switching device is increased by ‘1’ successively with a series of set pulses having a same pulse width and a same voltage amplitude being applied thereto. The data value stored by the resistive-switching device is set to ‘0’ with a reset pulse being applied thereto, and meanwhile a data value stored by a higher-bit resistive-switching device is increased by ‘1’ with a set pulse being applied thereto. In this way, multiary addition operation is implemented.
Abstract:
A neuron device includes a bottom electrode, a top electrode, and a layer of metal oxide variable resistance material sandwiched between the bottom electrode and the top electrode, in which the neuron device is switched to a normal state upon application of reset pulse, and is switched to an excitation state upon application of stimulus pulses. The neuron device has a comprehensive response to different amplitude, different width of a stimulus voltage pulse and different number of a sequence of stimulus pulses, and provides functionalities of a weighting section and a computing section. The neuron device has a simple structure, excellent scalability, quick speed, low operation voltage, and is compatible with the conventional silicon-based CMOS fabrication process, and thus suitable for mass production. The neuron device is capable of performing many biological functions and complex logic operations.
Abstract:
In a system that supports paid advertisements, as advertisements are awarded ad spots based on contextual relevance to search queries, periodic performance indicators are recorded. The periodic performance indicators represent ad performance during a specific time period. Over time, the periodic performance indicators are aggregated to form historical behavior indicators. A graphical model of advertiser behavior is formulated based on the periodic performance indicators and the historical behavior indicators. The graphical model may then be used to forecast future bid values based on previous advertiser behavior.