Abstract: An optical module includes a housing, a circuit board assembly, an optical assembly, and an optical receptacle. The housing includes first and second housings and an optical fiber adapter. The circuit board assembly includes a rigid circuit board. The optical assembly is fixed on the first housing and includes an optical processing assembly and photoelectric chips. The optical processing assembly includes a wavelength division multiplexer, a lens group located between the wavelength division multiplexer and the photoelectric ship, and a lens group located between the wavelength division multiplexer and the optical receptacle. The photoelectric chips are close to the rigid circuit board and are electrically connected to the rigid circuit board. The optical fiber adapter is arranged at an optical interface of the housing and is integrally formed with the optical interface.

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.