Abstract: A magnetoresistive random access memory (MRAM) device includes a first array region and a second array region on a substrate, a first magnetic tunneling junction (MTJ) on the first array region, a first top electrode on the first MTJ, a second MTJ on the second array region, and a second top electrode on the second MTJ. Preferably, the first top electrode and the second top electrode include different nitrogen to titanium (N/Ti) ratios.

Abstract: The present disclosure relates to systems, devices, and methods for a visual exploration of search engine results. The systems, devices, and methods may present, in response to receiving the search engine results for a query to perform a task, a search result webpage with a cascading waterfall layout that includes a plurality of images from a plurality of webpages included in the search results. The search result webpage may also present, adjacent to the plurality of images, structured data corresponding to a selected image from the plurality of images where the structured data includes details from the webpage to complete the task.

Abstract: The present disclosure relates to systems, devices, and methods for a visual exploration of search engine results. The systems, devices, and methods may present, in response to receiving the search engine results for a query to perform a task, a search result webpage with a cascading waterfall layout that includes a plurality of images from a plurality of webpages included in the search results. The search result webpage may also present, adjacent to the plurality of images, structured data corresponding to a selected image from the plurality of images where the structured data includes details from the webpage to complete the task.

Abstract: Techniques for dynamically generating deeplink search results in response to navigational search queries. In an aspect, to address user search queries, a general-purpose search engine is provided in parallel with a dedicated engine for specifically ranking deeplinks. Upon identifying a received query as a navigational query, a parallel query is generated from a common domain and user query, and provided to the dedicated engine. The engine accesses relevant deeplink URL's from a search index, which may be frequently refreshed and updated with the most recent Web contents. Ranking of deeplink URL's may be performed according to an algorithm that processes query-level features and document-level features of URL's to be ranked. In an aspect, the algorithm may be trained from search engine logs and/or Web browser logs, by calculating a Log-based Normalized Discounted Cumulative Gain (LNDCG) designed to quantify relevance of search results to queries based on user click behavior.

Abstract: Techniques for dynamically generating deeplink search results in response to navigational search queries. In an aspect, to address user search queries, a general-purpose search engine is provided in parallel with a dedicated engine for specifically ranking deeplinks. Upon identifying a received query as a navigational query, a parallel query is generated from a common domain and user query, and provided to the dedicated engine. The engine accesses relevant deeplink URL's from a search index, which may be frequently refreshed and updated with the most recent Web contents. Ranking of deeplink URL's may be performed according to an algorithm that processes query-level features and document-level features of URL's to be ranked. In an aspect, the algorithm may be trained from search engine logs and/or Web browser logs, by calculating a Log-based Normalized Discounted Cumulative Gain (LNDCG) designed to quantify relevance of search results to queries based on user click behavior.

Abstract: The relative priorities or weightings of key performance indicators (KPIs) are objectively evaluated for a web service to facilitate determining where efforts should be made in improving the web service. A KPI-taming cost and user engagement variation is determined for each KPI. The KPI-taming cost for a KPI represents a number of engineering man-hours estimated to be required to achieve a unit of KPI improvement for that KPI. The predicted user engagement variation for a KPI represents an improvement in user engagement with the web service estimated to be provided by a certain improvement in that KPI. A KPI-sensitivity is determined for each KPI based on the KPI-taming cost and predicted user engagement variation for each KPI. A weighting may also be determined for each KPI based on the percentage of each KPI's KPI-sensitivity of the sum of KPI-sensitivities for all KPIs.