Abstract: Methods and systems for selecting and displaying items includes causing the display of a large image of a selected item, a plurality of view icons indicative of different views of the selected item, and item details associated with a selected item. After the customer selects a view and/or color for the large image and mouses over the image, a zoom box appears and a corresponding magnified image window appears with a magnified image of the zoom box image for the selected view and color of the item.

Abstract: Methods and systems for selecting and displaying items includes causing the display of a large image of a selected item, a plurality of view icons indicative of different views of the selected item, and item details associated with a selected item. After the customer selects a view and/or color for the large image and mouses over the image, a zoom box appears and a corresponding magnified image window appears with a magnified image of the zoom box image for the selected view and color of the item.

Abstract: A social networking system prices advertisements presented to a user of a social networking system via a client device in a state that provides the user with limited functionality by applying discount factors to bid amounts associated with advertisements selected for presentation. A discount factor is based on the likelihood of the user viewing or interacting with an advertisement via the social networking system presented while the client device is in the state providing the user with limited functionality. This likelihood is determined based on information including a history of user interaction with the client device and contextual information indicating whether the client device is in use.

Abstract: Systems, methods, and non-transitory computer-readable media can determine that a candidate is likely to leave a current employer employing the candidate based on one or more outreach timing machine learning models. An outreach message for the candidate is generated based on one or more content generation machine learning models in response to the determining that the candidate is likely to leave the current employer. The outreach message is transmitted to the candidate.

Abstract: A system is provided that facilitates achieving a goal associated with a particular video asset. The system may provide an interface through which a user may specify control parameters that are to be the targets of testing, and a goal or combination of goals. The system may control a controller that performs experiments in an attempt to identify optimal values, relative to the specified goals, for the control parameters. The optimal values may be determined and tested on a per-individual-video asset basis. Further, the controller may generate multiple sets of optimal values for a given video, where each set is associated with a different combination of request attributes. To estimate the optimal parameter values for one video, the controller may use usage information collected for that video, as well as usage information collected for similar videos.

Abstract: Methods and systems for selecting and displaying items includes causing the display of a large image of a selected item, a plurality of view icons indicative of different views of the selected item, and item details associated with a selected item. After the customer selects a view and/or color for the large image and mouses over the image, a zoom box appears and a corresponding magnified image window appears with a magnified image of the zoom box image for the selected view and color of the item.

Abstract: A social networking system selects advertisements for presentation to a user while a client device used by the user is in a state that provides limited functionality to the user, such as a locked state. Based on objectives associated with various advertisements, the social networking system determines interactions associated with advertisements and selects advertisements associated with interactions capable of being performed while the client device is in the state that provides limited functionality to the user or associated with no interaction. The social networking system sends the advertisements to the client device for display to the user while the client device is in the state of limited functionality.

Abstract: A social networking system prices advertisements presented to a user of a social networking system via a client device in a state that provides the user with limited functionality by applying discount factors to bid amounts associated with advertisements selected for presentation. A discount factor is based on the likelihood of the user viewing or interacting with an advertisement via the social networking system presented while the client device is in the state providing the user with limited functionality. This likelihood is determined based on information including a history of user interaction with the client device and contextual information indicating whether the client device is in use.

Abstract: A system is provided that facilitates achieving a goal associated with a particular video asset. The system may provide an interface through which a user may specify control parameters that are to be the targets of testing, and a goal or combination of goals. The system may control a controller that performs experiments in an attempt to identify optimal values, relative to the specified goals, for the control parameters. The optimal values may be determined and tested on a per-individual-video asset basis. Further, the controller may generate multiple sets of optimal values for a given video, where each set is associated with a different combination of request attributes. To estimate the optimal parameter values for one video, the controller may use usage information collected for that video, as well as usage information collected for similar videos.

Abstract: A system is provided that facilitates achieving a goal associated with a particular video asset. The system may provide an interface through which a user may specify control parameters that are to be the targets of testing, and a goal or combination of goals. The system may control a controller that performs experiments in an attempt to identify optimal values, relative to the specified goals, for the control parameters. The optimal values may be determined and tested on a per-individual-video asset basis. Further, the controller may generate multiple sets of optimal values for a given video, where each set is associated with a different combination of request attributes. To estimate the optimal parameter values for one video, the controller may use usage information collected for that video, as well as usage information collected for similar videos.

Abstract: Methods and systems for causing the display of items for the review and selection thereof by a potential purchaser has a plurality of search tools whereby a customer can select certain search criteria for displaying items corresponding to the search criteria for review and selection thereof and comparison therebetween. In one embodiment, the system provides a brand menu whereby a customer can select one or more brands of products for displaying the same in a common display window.

Abstract: A system is provided that facilitates achieving a goal associated with a particular video asset. The system may provide an interface through which a user may specify control parameters that are to be the targets of testing, and a goal or combination of goals. The system may control a controller that performs experiments in an attempt to identify optimal values, relative to the specified goals, for the control parameters. The optimal values may be determined and tested on a per-individual-video asset basis. Further, the controller may generate multiple sets of optimal values for a given video, where each set is associated with a different combination of request attributes. To estimate the optimal parameter values for one video, the controller may use usage information collected for that video, as well as usage information collected for similar videos.

Abstract: Techniques are provided for selecting which videos to recommend to users by predicting the degree to which recommending each video will satisfy certain goals. To make the predictions, a trained machine learning engine is fed both collaborative filtering parameter values and content-based filtering parameter values. In the case of video-to-video recommendations, the collaborative filtering parameter values may be based on a video pair that includes a video in which a user has already demonstrated an interest. The machine learning engine generates a machine-learning score for each video. The machine learning scores are used as the basis for selecting which videos to recommend to a particular user.

Abstract: Methods and systems for causing the display of items for the review and selection thereof by a potential purchaser has a plurality of search tools whereby a customer can select certain search criteria for displaying items corresponding to the search criteria for review and selection thereof and comparison therebetween. In one embodiment, the system provides a brand menu whereby a customer can select one or more brands of products for displaying the same in a common display window.