Abstract: For each of one or more users of an activity assistant, the subject technology maintains an account record in a user-account database for the user's account. The account record includes an activity list that includes one or more activities associated with the user's account. The subject technology provides an activity-assistant GUI that is accessible to an accessing user via the accessing user's account. The GUI includes one or more UI elements that each identify an activity that is: (a) linked to another one of the users' accounts, and (b) addable by the accessing user via interaction with the UI element. For at least one of the users, the subject technology receives an indication whenever another one of the users adds one of the activities that is linked to the given user's account via interaction with the UI element that identifies the activity as linked to the given user's account.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: Disclosed herein is an “activity assistant” and an “activity assistant user interface” that provides users with dynamically-selected “activities” that are intelligently tailored to the user's world. For example, a graphical UI includes selectable context elements, each of which corresponds to a user-attribute whose value provides a signal to the activity assistant. In response to selecting a parameter associated with at least one of the selectable context elements, a first signal is generated and provided to the activity assistant. In response to providing the signal, one or more activities are populated and ordered based, at least in part, on the signal, and subsequently displayed. The parameters may include a current mood of a user, a current location of the user, associations with other users, and a time during which the user desires to carry out the activity in some examples.

Abstract: Some configurations of the subject technology provide a user interface including an activity-creation display configured to create a first activity of several activities, and a single-activity display configured to display a single activity of the several activities, and information related to a list of users associated with the activity. The single-activity display includes a parameter-entry display configured to select a parameter for the single activity and to send a signal to the single activity corresponding to the selected parameter, a heads-up display configured to send a heads-up message about the single activity to a user, a location display configured to display information related to a location of the single activity, a status indicator configured to display a status based on the status parameter of the single activity, and a status-entry display configured to, upon selection, send a signal to change the status indicator of the single activity.

Abstract: Configurations of an activity assistant processing system are disclosed that provides users with dynamically-selected activities that are intelligently tailored to a user. The subject technology accesses an index of activities. A score is then determined for each particular activity in the index of activities. The score is based on plurality of signals associated with user-specific parameters and global parameters to determine the quantitative importance of a particular activity. The subject technology identifies a subset of activities within the index of activities using the activity assistant processing system in which the subset includes at least one activity with a corresponding score that is greater than or equal to a decision threshold for the at least one activity. At least a portion of the subset of activities is then ranked based on the quantitative importance of the particular activity using the activity assistant processing system.

Abstract: Systems, including methods, apparatus, and algorithms, for spectrally imaging a two-dimensional array of samples.

Abstract: Disclosed herein are methods and systems that relate to an “activity assistant” that provides users with dynamically-selected “activities” that are intelligently tailored to the user's world. The subject technology receives the one or more global parameters of one or more selected activities. The subject technology further receives the one or more account-specific parameters of a selected user account. For the selected user account, and for each of the one or more selected activities, the subject technology: (a) determines one or more signals based at least in part on one or more of the global parameters of the selected activity and one or more of the account-specific parameters of the selected user account, and (b) uses the determined signals as a basis for determining an importance of the selected activity for the selected user.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: A system may include one or more databases to store comments relating to documents, the comments originating from first and second sources, where the comments from the first source include comments received from users via commenting functionality associated with browsers installed on client devices, and the comments from the second source include comments received from users independent of the commenting functionality associated with the browsers installed on the client devices. The system may also include one or more server devices to receive a request for comments relating to a particular document, search at least one of the one or more databases to identify comments relating to the particular document, and provide the identified comments for presentation in connection with the particular document.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: A system may include one or more databases to store comments relating to documents, the comments originating from first and second sources, where the comments from the first source include comments received from users via commenting functionality associated with browsers installed on client devices, and the comments from the second source include comments received from users independent of the commenting functionality associated with the browsers installed on the client devices. The system may also include one or more server devices to receive a request for comments relating to a particular document, search at least one of the one or more databases to identify comments relating to the particular document, and provide the identified comments for presentation in connection with the particular document.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: Configurations for processing status-related and time-related signals for activities are disclosed. A given activity can be stored in a global activity database that includes data defining two or more activities. The data for each activity includes one or more global parameters. The global parameters include a timing-related priority. The time-related signal is related to at least one time-related parameter of the one or more global parameters. An activity assistant server can update the timing-related priority of the given activity based on the time-related signal using the activity assistant server. The activity assistant server can determine a subset of the plurality of activities. The activity assistant server can determine a rank for each activity in the determined subset of the plurality of activities based at least in part on the timing-related priority.

Abstract: One or more server devices receive a request associated with a link, where the link is further associated with a comment and where the comment provides an opinion of, or remarks upon, a content of a document. The one or more server devices retrieve a content of the comment associated with the link from a database and retrieve the document. The one or more server devices generate another document that displays the content of the comment and includes a frame that further displays the document, and send the generated another document to the client device.

Abstract: A server device receives a comment associated with a first document, where the comment provides an opinion of, or remarks upon, a content of the first document. The server device obtains document clustering information which indicates that the first document is clustered with one or more second documents and stores, in a memory associated with the server device, the comment in association with the first document and the one or more second documents. The server device presents the comment in connection with the first document or one of the one or more second documents when the first document or the one of the one or more second documents is accessed by a user.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: One or more server devices receive a request associated with a link, where the link is further associated with a comment and where the comment provides an opinion of, or remarks upon, a content of a document. The one or more server devices retrieve a content of the comment associated with the link from a database and retrieve the document. The one or more server devices generate another document that displays the content of the comment and includes a frame that further displays the document, and send the generated another document to the client device.

Abstract: Systems, including methods, apparatus, and algorithms, for spectrally imaging a two-dimensional array of samples.