Abstract: Systems and methods for building keyword searchable audience based on performance ranking are provided. The system includes a processor and a non-transitory storage medium accessible to the processor. The system includes a memory storing a database comprising segment data and campaign data. A computer server is in communication with the memory and the database, the computer server programmed to: obtain a performance-lift vector for an audience segment; obtain a campaign vector using meta-data from the campaign data; obtain a keyword vector for the audience segment using the performance-lift vector and the campaign vector; receive an input from a user interface accessible to an advertiser; and search the segment data at least partially based on the input and the keyword vector for segments in the segment data.

Abstract: Described herein are example systems and operations for enhancing targeted advertising using A/B testing. These examples provide solutions to problems in targeted advertising, such as the problem of not being able to identify audience and/or situational targets mostly or only influenced by the ad or ad campaign of concern. For example, described herein are solutions that can build a pair of differential behavioral data sets similar to an A/B clinical study. Then two or more models can be generated on each data set. In an example, these models can be based on machine learning and/or statistical analysis. The differential learning between the two or more models can then be used to enhance predictions of desired response probabilities mostly or only due to the influence of the ad or ad campaign being modeled.

Abstract: Embodiments are directed towards providing word-by-word message completion for an incomplete response message, wherein the response message is composed in response to a received stimulus message. The message completion is based on a Response Completion Model (RCM) that may model both the language used in the incomplete response message and the contextual information in the received stimulus message. The RCM may be determined based on conversational stimulus-response data including stimulus-response message pairs. The RCM may be a mixture model and include a generic response language model based on an N-gram model, a Stimulus Model based on a Selection Model or a Topic. Model, and a mixture parameter. In some embodiments, at least one candidate next word for the incomplete response message is determined based on the RCM. The at least one candidate next word may be selected and included in the incomplete response message. A complete response message may be generated and provided to a user.

Abstract: In an embodiment, a data processing method comprises obtaining a present location value indicating a present location of a computing device and event data indicating an event location and an event time; determining a route of travel between the present location and the event location for a mode of transportation from the present location to the event location; determining one or more route segments in the route of travel; determining one or more estimated journey times respectively for each of the route segments; adding one or more padding time values to each of the route segments; determining a total travel time based upon the journey times and the padding time values for all of the route segments; determining a recommended time to leave based upon a current time and a difference between the event time and the total travel time; wherein the method is performed by one or more computing devices.

Abstract: A distribution apparatus according to an embodiment includes an accepting unit and a distributing unit. The accepting unit accepts an advertisement request from an application that operates can the terminal device. When the accepting unit accepts the advertisement request, the distributing unit distributes display candidate advertisements as candidates to be displayed by the terminal device to a terminal device that selects a display target advertisement based on the information on the installed applications from among the display candidate advertisements.

Abstract: A prediction device according to the present application includes an acquisition unit and a prediction unit. The acquisition unit acquires sensor information related to a first user, the sensor information having been detected with a sensor. The prediction unit predicts an interest of the first user, based on an action pattern obtained from a history of the sensor information of the first user obtained by the acquisition unit, and interest information of user classification into which a second user is classified according to an action pattern obtained from a history of sensor information related to the second user.

Abstract: Described herein are techniques and systems for online ad campaign pacing. The techniques described herein use budget allocation along with the estimations of bids and response rates. With use of budget allocation, the techniques can use budget pacing to enhance impressions and maximize desired responses, such as desired click-through rates. These techniques focus on enhancing pacing and performance of ad campaigns, such as enhancing performance across distinct and/or unified online ad marketplaces. These techniques are especially useful in the context of a demand-side platform (DSP). In some examples, the techniques assume that impression supply is much larger than advertiser demand for impressions of their ads, so such techniques focus on selecting high performing inventory of ad space. Yet, with such a focus, a smooth or consistent delivery of ads over time is used.

Abstract: A computer system that implements a method for optimizing an ad campaign may be configured to receive an online ad display request to display an ad to a viewer and obtain at least three probabilities—a first probability that the ad will receive a positive response from the viewer, a second probability that the ad will receive a neutral response from the viewer, and a third probability that the ad will receive a negative response from the viewer. Additionally, the computer system may also be configured to determine a gain value of displaying the ad; and determine a bidding price associated with the ad request based on the gain value.

Abstract: Described herein are solutions for improving management of viewable impression based display advertising systems. For example, described herein are solutions for improving management of viewable impression based display advertising systems amongst various online marketing channels, such as search engine and guaranteed display advertising (GDA) marketing channels. The solutions can include use of a legacy GDA system and a score (e.g., a ratio) to bridge viewable impression based control and pricing and regular impression based control and pricing.

Abstract: A generating device according to the present application includes an acquisition unit, and a generation unit. The acquisition unit acquires information concerning a company from information transmitted on a communication network. The generation unit generates a model for predicting an index value indicating credit to a first company based on information concerning the first company acquired by the acquisition unit, based on a correlation between information concerning a second company acquired by the acquisition unit and an index value indicating credit to the second company given by a third party.

Abstract: According to one aspect of an embodiment, an information display device includes an arranging unit that arranges, in a column, first content and second content that is different from the first content such that an upper end of the first content is brought into contact with the lower end of the second content. The information display device includes a displaying unit that displays the first content and the second content at the position away from the upper end of the second content by a predetermined distance in the downward direction as the position of the upper end of a display area.

Abstract: For providing synchronization of image data among diverse devices and applications, exemplary systems include a direct client application providing a user interface operable to allow a user to organize image data according to albums, and to select one or more albums for synchronization with one or more server interfaces that provide various image data manipulation, sharing, and features related thereto. Systems also include an intermediary system to assist in synchronization of select albums with handheld devices, and a notification server to provide scalable notifications of album updates made at server interfaces by users. Exemplary methods include steps providing for selection, from direct client applications, of albums to synchronize with devices, including handheld devices, and various steps of providing updates and notifications among appropriate system components.

Abstract: Methods and systems are provided that may be utilized to rank related news predictions and to provide one or more predictions to a user. In a particular implementation, one or more digital signals representing a query may be generated at least partially in response to an article being accessed by a user. One or more digital signals representing one or more predictions comprising one or more sentence portions having one or more references to one or more future dates may be obtained based at least in part on a comparison of the one or more digital signals representing the query with one or more digital signals representing a prediction index.

Abstract: Methods and systems are provided that can include iconization and later play of video content items, such as advertisements. During presentation of an online video, video advertisements may be presented. Upon user selection, during or after presentation of a particular video advertisement, the advertisement may cease to be presented, but an icon may be displayed that represents the video advertisement. The icon may be displayed in an area adjacent to the online video display area, which area may include multiple icons. Later, upon user selection of the icon, the video advertisement may be played, or may continue playing, utilizing local storage of the video advertisement. This, in turn, may provide, for example, efficient, convenient user access to the video advertisement, leading to enhanced advertisement performance with minimal intrusive impact on the user experience as a whole.

Abstract: Embodiments are directed towards managing mobile searches by enabling a user to indicate a context of a search query to narrow a scope of the search. A user may fine tune a search by selecting from a plurality of pre-defined contexts for which to perform a search query. In one embodiment, the user may combine two or more pre-defined contexts to create more complex contexts for use in customized context search queries. The user also enters one or more search terms. A subset of databases is selected from a plurality of databases associated with different subject categories. The subset of databases is selected as predefined by an operator based on the user's context, and searched based on the user's entered search terms and selected context. Results are then aggregated and provided to the user. Results may be rank ordered based on the given user context or user's previous search behavior.

Abstract: In one embodiment, an indication of a request pertaining to a user account is obtained, where the user account is associated with at least one user. An account type of the user account is determined, where the account type is one of two or more account types. One or more actions indicated by the request are performed based, at least in part, upon the account type.

Abstract: A system and method for recommending content to a user in a social network, including: logging user activity for the user in the social network; categorizing the user activity across all the user's networks, wherein each category is assigned a score based on relevance to the user; assigning weights to the user activities; calculating a social index score as a function of the weighted user activity categories; logging user content into categories; scoring the user content; and generating a content social index by weighting the content scores.

Abstract: A computer-implemented method of dynamically creating a page module for a word on a display screen is provided. The page module is creating by determining a word provided for defining the page module, searching for text directly associated with the word and text contextually associated with the word, and, searching for media directly associated with the word and contextually associated with the word. The type of page module layout for the word is then identified. The page module layout includes placeholders for displaying at least some of the text that is directly or contextually associated with the word and at least some of the media that is directly or contextually associated with the word in the page module. The page module is then displayed by drawing the page module layout on the display screen and populating the page module layout with at least some of the media that is directly or contextually associated with the word.