Abstract:
Systems and methods for placing ads in a block on a webpage are disclosed. Generally, two ranking models are trained using a first and second ads data set. The first model predicts a first click probability for each ad in the first ads data and rank the ads based on the eCPM. The second model is trained using the second ads data set comprising a subset of the first ads data set and interaction features related to ad position in the block. The second model predicts a second click probability for each ad in the second ads data set. An overall expected revenue for each arrangement of ads in the second ads data set is then calculated. The computer system selects the arrangement with maximum computed overall expected revenue and places the ads in the block on the webpage according to the selected arrangement.
Abstract:
Disclosed is a system and methods for data compression and decompression. The systems and methods discussed herein include an encoder, dictionary, decoder, literal string and control output. The discussed systems and methods encode data transmitted over a communications channel through the use of a dynamically compiled dictionary. Upon reviewing the characters within the transmitted data in view of the dictionary, an encoded/compressed output string is created. Such output string may also be decoded in a similar fashion via a dynamically compiled dictionary.
Abstract:
Method and system for presenting content, is provided. A range with respect to a presenting device is determined. A device identification (ID) of the presenting device is transmitted, via the communication platform, to a first user located within the range. First content is obtained, wherein the first content is generated based on a first request from the first user. The first request is sent in association with at least the device ID and a first user ID of the first user. The first content is presented, at the presenting device, wherein the first content is personalized with respect to the first user.
Abstract:
A modular search object framework provides modular search results, including entity and non-entity search results, with search suggestions in a combined visual display. The framework includes circuitry that outputs search results and search suggestions comprising perceivable differences between the results and the suggestions. In addition, circuitry of the framework outputs search results, wherein non-entity and entity search results are distinguishable from each other, for example in shape, size, color, or other visual effect.
Abstract:
Methods, systems and programming for providing query suggestions including entities. In one example, a prefix of a query is first received. A plurality of query suggestions are then identified based on the prefix of the query. The plurality of query suggestions include at least one entity. Scores of each of the plurality of query suggestions are computed using a first model. The first model includes an adjustable parameter used for computing the score of the at least one entity. The plurality of question suggestions are ranked based, at least in part, on the scores.
Abstract:
Systems and methods for commercial query suggestion are disclosed. The system includes a database including search logs. The system includes a set of initial suggestion phrases extracted from the database. The system includes a search engine that generates a query search result based on a query and generates a suggestion search result based on each suggestion phrase in the set of initial suggestion phrases. The system includes a feature generation device that generates a query vector and a suggestion vector based on the query search result and the suggestion search result. The system obtains a relevance score for each suggestion phrases based on a relevance model. The system includes a subset of the initial suggestion phrases based on the relevance scores. The system obtains a click probability score for each suggestion phrases in the subset of initial suggestion phrases based on a click model.
Abstract:
A content-generating user is enabled to set visible attributes for a content item from any device so that the content item maintains a uniform look and feel across the various platforms. The visible attributes set by the generating user are stored in the user's profile on a user profile database. When a request to display the content item is received from a client device, the platform associated with the request is determined. Display data comprising one or more of the visible attributes retrieved from the user profile database, the content item and a template based on the platform is transmitted to the client device. The client device configures a display of the content item to a viewer based on the received display data.
Abstract:
Content items are provided to users and their interactions with the provided content items are recorded in respective user profiles. The users' interactions thus recorded over time are analyzed to determine if the users have a balanced information intake. A reading habit score is determined for a user based various criteria. The user's reading habit score is analyzed to determine if the user's habits indicate a balance in the user's content consumption. If the user's reading habit score indicates an imbalance in the user's content consumption, suggestions are provided to the user for achieving a more balanced reading habit and thereby improving the user's reading habit score.
Abstract:
A content-generating user is enabled to set visible attributes for a content item from any device so that the content item maintains a uniform look and feel across the various platforms. The visible attributes set by the generating user are stored in the user's profile on a user profile database. When a request to display the content item is received from a client device, the platform associated with the request is determined. Display data comprising one or more of the visible attributes retrieved from the user profile database, the content item and a template based on the platform is transmitted to the client device. The client device configures a display of the content item to a viewer based on the received display data.