Composite To-Print Product

Patent metadata

Field	Value
Publication number	US-2015363140-A1
Application number	US-201314761742-A
Country	US
Kind code	A1
Filing date	Jan 24, 2013
Priority date	Jan 24, 2013
Publication date	Dec 17, 2015
Grant date	—

Abstract

A system can include a print history analyzer to generate history data based on a document history that includes a list of documents selected to be printed. The history data can characterize a content and layout of documents selected for printing. The system can also include a user print profile builder to generate a user print profile based on the history data. The user print profile can characterize printing preferences of a user. The system can further include a recommendation engine to generate a composite to-print product for the user. The composite to-print product can be based on the user print profile.

First claim

What is claimed is:

1 . A non-transitory computer readable medium having machine executable instructions comprising:
a print history analyzer to generate history data for a user based on a document history that includes a list of documents selected to be printed, wherein the history data characterizes a content and a page layout of documents selected for printing; a user print profile builder to generate a user print profile based on the history data, wherein the user print profile characterizes printing preferences of the user; and a recommendation engine to generate a composite to-print product for the user, wherein the composite to-print product is based on the user print profile.

2 . The non-transitory computer readable medium of claim 1 , wherein the print history analyzer further comprises a print content analyzer to generate content data of the history data, wherein the content data includes a keyword of each document identified in the document history.

3 . The non-transitory computer readable medium of claim 2 , wherein the user print profile builder further comprises a print content preference learner to generate profile content data of the user print profile based on an aggregate of the content data of the history data, the profile content data to characterize content that is likely to be selected for printing by the user.

4 . The non-transitory computer readable medium of claim 1 , wherein the print history analyzer further comprises a print presentation analyzer to generate layout data of the history data that characterizes a page layout of each document included in the document history.

5 . The non-transitory computer readable medium of claim 4 , wherein the user print profile builder further comprises a print presentation preference learner to generate profile presentation data of the user print profile based on an aggregate of the layout data of the history data, the profile presentation data characterizing a page layout that is likely to be selected for printing.

6 . The non-transitory computer readable medium of claim 1 , wherein the recommendation engine further comprises a contextual filter to select a proper subset of content elements in a to-print pool of content elements, wherein the proper subset of content elements is selected based on the user print profile.

7 . The non-transitory computer readable medium of claim 6 , wherein the contextual filter is further to select the proper subset of content elements based on temporal printing preferences included in the user print profile.

8 . The non-transitory computer readable medium of claim 6 , wherein the recommendation engine further comprises a plurality of content type recommenders to generate a set of recommended elements, wherein a given content type recommender of the plurality of content type recommenders is to recommend a given content element of a respective content type selected from the proper subset of content elements.

9 . The non-transitory computer readable medium of claim 8 , wherein the recommendation engine further comprises:
a composite content composer to generate a plurality of candidate products that each include a proper subset of the set of recommended elements; and a layout recommender to generate a page layout for each of the plurality of candidate products based on the user print profile to generate a plurality of candidate to-print products.

10 . The non-transitory computer readable medium of claim 9 , further comprising a composite to-print product composer to select the composite to-print product from the plurality of candidate to-print products based on the user print profile and a time parameter.

11 . The non-transitory computer readable medium of claim 10 , wherein the composite to-print product is generated in a printable format and the composite to-print product includes at least two of a coupon, an advertisement and an article.

12 . The non-transitory computer readable medium of claim 9 , wherein the print history analyzer is further to:
receive a print message indicating whether or not the composite to-print product has been selected to be printed; and update the history data based on the print message.

13 . A method comprising:
generating a user print profile to characterize printing preferences of a user based on history data corresponding to a printing history of documents employed by the user; generating a composite to-print product for the user based on the user print profile; and storing the composite to-print product in a memory resource.

14 . The method of claim 13 , further comprising updating the user print profile based on an incremental update to the history data.

15 . A system comprising:
a memory resource to store machine readable instructions; and a processing resource to execute the machine readable instructions, the machine readable instructions comprising:
a print history analyzer to generate history data for a user based on a document history that includes a list of documents selected to be printed;
a user print profile builder to generate a user print profile based on the history data, wherein the user print profile characterizes printing preferences of the user, the user print profile builder comprising:
a print content preference learner to generate profile content data of the user print profile based on an aggregate of content data of the history data, the profile content data characterizing content that is likely to be selected for printing; and
a print presentation preference learner to generate profile presentation data of the user print profile based on an aggregate of layout data of the history data, the profile presentation data characterizing a page layout of a printable page that is likely to be selected for printing; and

a recommendation engine to generate a composite to-print product for the user, wherein the composite to-print product is based on the user print profile.

Assignees

• Hewlett Packard Development Co

Inventors

• Koutrika Georgia
• Lin Qian
• Liu Jerry J

Classifications

• G06F3/1204 Primary

  resulting in reduced user or operator actions, e.g. presetting, automatic actions, using hardware token storing data · CPC title

• G06F3/1273

  Print job history, e.g. logging, accounting, tracking · CPC title

• G06F3/1254

  Automatic configuration, e.g. by driver · CPC title

• G06F3/1288

  in client-server-printer device configuration · CPC title

• G06Q30/0255

  based on user history · CPC title