Abstract: Techniques are disclosed for identifying and populating static form fields using prior responses to similar form fields. An example method includes receiving an electronic form having, encoded in the form, static text and a static form field for containing information specific to a given user of the electronic form. Using an image recognition algorithm, a fillable form field candidate is identified based on a graphical representation of the static form field. An attribute of the fillable form field candidate can be identified based on the static text. A suggested response for populating the fillable form field candidate is selected from prior responses to other form fields having at least one attribute in common with the identified attribute of the fillable form field candidate. The prior responses are inputs obtained from or associated with the given user. The suggested response is presented to the user for subsequent acceptance or rejection.

Abstract: Techniques are disclosed for identifying and populating static form fields using prior responses to similar form fields. An example method includes receiving an electronic form having, encoded in the form, static text and a static form field for containing information specific to a given user of the electronic form. Using an image recognition algorithm, a fillable form field candidate is identified based on a graphical representation of the static form field. An attribute of the fillable form field candidate can be identified based on the static text. A suggested response for populating the fillable form field candidate is selected from prior responses to other form fields having at least one attribute in common with the identified attribute of the fillable form field candidate. The prior responses are inputs obtained from or associated with the given user. The suggested response is presented to the user for subsequent acceptance or rejection.

Abstract: Techniques are disclosed for identifying and populating static form fields using prior responses to similar form fields. An example method includes receiving an electronic form having, encoded in the form, static text and a static form field for containing information specific to a given user of the electronic form. Using an image recognition algorithm, a fillable form field candidate is identified based on a graphical representation of the static form field. An attribute of the fillable form field candidate can be identified based on the static text. A suggested response for populating the fillable form field candidate is selected from prior responses to other form fields having at least one attribute in common with the identified attribute of the fillable form field candidate. The prior responses are inputs obtained from or associated with the given user. The suggested response is presented to the user for subsequent acceptance or rejection.

Abstract: One exemplary embodiment involves a computer-implemented method comprising receiving, in a computing device, a first request to attach a file in a cell of a collaborative spreadsheet, wherein the first request comprises the file and a cell identifier, and wherein the collaborative spreadsheet comprises a spreadsheet configured to be accessed and modified simultaneously from a plurality of client devices. The method additionally comprises attaching, via a processor, the file to the collaborative spreadsheet at the cell corresponding to the cell identifier; and storing the file on a cloud storage device, wherein the file is stored to be accessible in conjunction with the collaborative spreadsheet.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed at predicting values for an electronic form. In embodiments, the method can include forming synonym groupings of form field labels for a number of users. The synonym groupings can be based on an analysis of the similarity of form field values that are associated with form field labels. In embodiments a predictive model may be generated from these synonym groupings. The predictive model can correlate the synonym groupings of one user with synonym groupings of one or more additional users to enable a determination of one or more predicted form field values for the one user based on a queried form field label even though the one user may have never submitted an electronic form with the queried form field label. Other embodiments may be described and/or claimed.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed at predicting values for an electronic form. In embodiments, the method can include forming synonym groupings of form field labels for a number of users. The synonym groupings can be based on an analysis of the similarity of form field values that are associated with form field labels. In embodiments a predictive model may be generated from these synonym groupings. The predictive model can correlate the synonym groupings of one user with synonym groupings of one or more additional users to enable a determination of one or more predicted form field values for the one user based on a queried form field label even though the one user may have never submitted an electronic form with the queried form field label. Other embodiments may be described and/or claimed.

Abstract: Techniques are disclosed for identifying and populating static form fields using prior responses to similar form fields. An example method includes receiving an electronic form having, encoded in the form, static text and a static form field for containing information specific to a given user of the electronic form. Using an image recognition algorithm, a fillable form field candidate is identified based on a graphical representation of the static form field. An attribute of the fillable form field candidate can be identified based on the static text. A suggested response for populating the fillable form field candidate is selected from prior responses to other form fields having at least one attribute in common with the identified attribute of the fillable form field candidate. The prior responses are inputs obtained from or associated with the given user. The suggested response is presented to the user for subsequent acceptance or rejection.

Abstract: One exemplary embodiment involves a computer-implemented method comprising receiving, in a computing device, a first request to attach a file in a cell of a collaborative spreadsheet, wherein the first request comprises the file and a cell identifier, and wherein the collaborative spreadsheet comprises a spreadsheet configured to be accessed and modified simultaneously from a plurality of client devices. The method additionally comprises attaching, via a processor, the file to the collaborative spreadsheet at the cell corresponding to the cell identifier; and storing the file on a cloud storage device, wherein the file is stored to be accessible in conjunction with the collaborative spreadsheet.