Moscow, Russia
Moscow, Russia

Yandex is a Russian Internet company which operates the largest search engine in Russia with about 60% market share in that country. It also develops a number of Internet-based services and products. Yandex ranked as the 4th largest search engine worldwide, based on information from Comscore.com, with more than 150 million searches per day as of April 2012, and more than 50.5 million visitors daily as of February 2013. The company's mission is to provide answers to any questions users have or think about . Yandex also has a very large presence in Ukraine and Kazakhstan, providing nearly a third of all search results in those markets and 43% of all search results in Belarus.The Yandex.ru home page has been rated as the most popular website in Russia. The web site also operates in Belarus, Kazakhstan, Ukraine and Turkey. Another company, Yandex Labs, is a wholly owned division of Yandex that is located in the San Francisco Bay Area. In 2014, Yandex announced plans to open a research and development office in Berlin, Germany. Wikipedia.


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There are disclosed methods and systems for generating a search engine results page (SERP) responsive to receiving a search query. A ranked plurality of search results is generated, including at least one general search result and at least one vertical search result, the ranked plurality of search results having been ranked based at least in part on a usefulness parameter. The usefulness parameter indicates the optimal position of the at least one vertical search result in the ranked plurality of search results based on its determined usefulness relative to the search query. The usefulness parameter is predetermined based on a training set of user data on past user interaction with the at least one vertical search result when its original rank was modified such that the at least one vertical search result was ranked randomly and placed on the previous SERP at a random position.


There is disclosed a computer-implemented method for predicting content item popularity. The method includes receiving, from a crawler database, an indication of a content item; receiving, from logs, the logs comprising a search log and a browsing log, a search logs data and a browsing logs data, the search logs data representing search activity from one or more users of the search engine server directed to the content item, and the browsing logs data representing browsing activity from one or more users of a browser application directed to the content item; receiving, from the crawler database, a statistical web data representing at least one of embeds or links of the content item contained in one or more web resources directed to the content item; and, predicting the content popularity, based at least in part the search logs data; the browsing logs data; and the statistical web data.


A computer-implemented method of and a system for interacting with a content element of a content stream. The method comprises displaying, on a screen of an electronic device comprising touch hardware, a first displayable page of the content element; receiving a gesture input via the touch hardware, the gesture input being along a first direction perpendicular to a scrolling direction of the content stream; and causing, by a processing unit, the display, on the screen of the electronic device, of a visual transition from the first displayable page of the content element to a second displayable page of the content element, the second displayable page defining a back side of the content element, the visual transition comprising a rotation from the first displayable page to the second displayable page, the rotation being about an axis extending in a second direction aligned with the scrolling direction of the content stream.


A method of generating a recommended subset of items for a user of an electronic device, the method being executed at a server, the method comprises: acquiring user events associated with a plurality of users, the user events comprising indications of user queries; for each of the user queries, generating a ranked predicted items list that comprises at least some items from a set of potentially recommendable items, such that each particular item within the ranked predicted items list has an associated rank; for each item within a plurality of ranked predicted items lists, generating, by the server, an item score based on a totality of ranks associated therewith; generating the recommended subset of items from the set of potentially recommendable items by selecting at least one item within the plurality of ranked predicted items lists as the recommended subset of items based on the item scores.


There is disclosed a method of rendering a screen-representation of an electronic document. The method is executed on an electronic device. The method comprises: acquiring, by the electronic device, the electronic document to be rendered, the electronic document comprising a content portion and a rendering-instruction portion; generating, by the electronic device, at least one rendering command, the at least one rendering command based on the at least one instruction, identifying, by the electronic device, a portion of the content portion to be modified; while generating the at least one rendering command, generating, by the electronic device, at least one additional rendering command, the at least one additional rendering command not directly derivable from the at least one instruction; generating the screen-representation of the electronic document based on a combination of the at least one rendering command and the at least one additional rendering command.


There is provided a method and a system for conducting a search and presenting results. The method can be executed at a server. The method comprises receiving a search query from an electronic device associated with a user; responsive to the search query, generating a search query result set, the search query result set including a vertical search result; determining a confidence level that the vertical search result is the most relevant to the search query; responsive to the confidence level being above a pre-determined threshold, causing the electronic device to display exclusively the vertical search result.


A method and system is described including presenting a first SERP version to a first set of users and a second SERP version to a second set of users; assessing first and second measures of user interactions with the first and second version of the SERP respectively, the user interactions being of a pre-selected type; computing a first and a second distribution of the first and second measures of user interactions and analyzing the first and second distributions conjointly for determining a change in user interactivity. The analyzing can include determining a set of ratios; determining a lowest ratio indicative of a smallest relative change and a highest ratio being indicative of a largest relative change within the set of ratios; determining the magnitude of the change in user interactivity based on the lowest and highest ratios; and determining a significance of the magnitude of the change in user interactivity.


A method of ranking elements of a first network resource for a first user is disclosed. The method is executable on a server, the method comprising receiving an indication of the elements of the first network resource, receiving an indication of a client device of the first user, responsive to the indication of the elements at least partially matching an indication of elements of a second network resource and the indication of the client device of the first user at least partially matching an indication of a client device of a second user, the second user having engaged on the client device in a past interaction with the elements of the second network resource, acquiring information associated with the past interaction of the second user, determining a ranking of the elements of the first network resource by relevance to the first user and a most relevant one of the elements.


A method and system for processing a user request for a recommended area of interest includes the steps of receiving the request including an indication of an electronic device geo-location and a user defined search constraint; receiving data associated with photographs associated with geo-objects, the data comprising geo-location coordinates of the photographs, the geo-location coordinates of the photographs being in proximity with the device geo-location; computing a plurality of region representations based on the geo-location coordinates of the photographs, each region representation being associated with a unique photograph density calculation parameter, the computing comprises determining a potential area of interest in each region representation, each region representation being a candidate for an optimal region representation; determining the optimal region representation based on the user defined search constraint; and displaying to the user the recommended area of interest that corresponds to the potential area of interest of the optimal region representation.


There is disclosed a method of processing a search query (and a server for same) from a user associated with an electronic device and generating a search engine result page (SERP) responsive to the search query. The method comprises: determining a user-search-intent, based at least in part on the search query; determining a first object component associated with the search query, said first object component comprising a combined link to additional identified network resources associated with the first object; determining a second object component associated with the search query; responsive to the user-search-intent being of a first type, including one of the first object component and the second object component in an object card; responsive to the user-search-intent being of a second type, including the other one of the first object component and the second object component in the object card.

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