Time filter

Source Type

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.

Yandex | Date: 2015-09-25

A computerized method for optimizing search result rankings obtained from a search result ranker has the steps of retrieving a first set of query-document pairs, each query-document pair of the first set having an associated post-impression features vector; generating a weight vector having a number of weights corresponding to a number of post-impression features in each of the post-impression feature vector of the first set; generating a target function by using the weight vector and the post-impression features vectors of the first set; using a performance metric associated with the target function, optimizing the weights of the weight vector using the first set of query-document pairs to obtain an optimized target function; optimizing the search result ranker using the optimized target function; and using the optimized search result ranker to rank search results.

Yandex | Date: 2015-11-10

Disclosed are a method and a system for displaying email attachments on a webmail page. An email server receives a request for pending email messages from a communication device associated with an email receiver. The email server retrieves from an email database pending email messages having a destination address designating the email receiver. Some of pending email messages include email attachments. The email server sends a trigger to the communication device. The trigger includes information instrumental in causing the communication device to display a webmail page viewable by the email receiver. This webmail page shows several lines of pending email messages. Each line shows an identity of a sender and a title of a pending email message. For an email message having an email attachment, the line also shows a thumbnail representative of the email attachment.

There are provided methods and systems for presenting a personalized aggregated search results page (SERP) to a user in response to a search query. The method can be executable at a server. The method comprises appreciating a user-specific aggregation preference parameter, the user-specific aggregation preference parameter having been generated based on at least one feature of the users search history; ranking a first general search result item and a first vertical search result item relative to each other based at least on the user-specific aggregation preference parameter, to generate a ranked order of search results items; and causing an electronic device associated with the user to display the ranked order of search results items within the SERP.

There are disclosed a system and method for automatic password recovery for a service. The method comprises: obtaining, via a communication network, user registration data and a request password restoration; determining of a first security question for the user, the first security question being associated with a first complexity factor; causing the first security question to be asked to the user; responsive to the first security question, obtaining the first users answer; assigning a first weighting factor to the first users answer, the first assigned weighting factor of the users answer depending on the first complexity factor of the first security question; determining of a second security question to be asked of the user, the second security question being associated with a second complexity factor; causing the second security question to be asked to the user; responsive to the second security question, obtaining the second users answer; assigning a second weighting factor to the second users answer, the second assigned weighting factor of the users answer depending on the second complexity factor of the second security question; adding up the first weighting factor and the second weighting factor; if the sum of the first weighting factor and the second weighting factor exceeds a given threshold, automatically restoring the password; if the sum of the first weighting factor and the second weighting factor is below the given threshold, denying automatic password restoration.

Methods and systems allow indexing references to documents of a database according to database reference profiles. Documents may then be located in the database using decoding protocols based on the database reference profiles. To this end, the documents are stored in the database and searchable terms extracted therefrom are associated with posting lists. Each posting list is divided into blocks of M database references. The blocks are encoded according to a pattern that depends on the M database references. A corresponding pointer to a table of encoding patterns is appended to each block. When a query is received for a searchable term, blocks are extracted from a posting list corresponding to the searchable term and a pointer for each block is used to extract a decoding protocol related to an encoding pattern for the block.

Discover hidden collaborations