Recommendation engine that processes data including user data to provide recommendations and explanations for the recommendations to a user

a recommendation engine and user data technology, applied in the field of recommendation systems, can solve the problems of not providing the explanation of the factors and processes used to determine personalized recommendations, and it is difficult for the target user to feed back to a personalized recommendation system how to improve the generation of personalized recommendations for the target user

Inactive Publication Date: 2013-01-24
OPENTABLE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0014]Thus, providing explanation data of personalized recommendations to the target user is advantageous and allows users to understand the logic and processes behind generating their pe...

Problems solved by technology

Existing methods for generating personalized recommendations to a target user may not provide explaining factors and processes used to determine the personalized recommendations.
Thus, if the target user is dissatisfied with the personalized recommendations, it is difficult for the target user to feed back to a personalized recom...

Method used

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  • Recommendation engine that processes data including user data to provide recommendations and explanations for the recommendations to a user
  • Recommendation engine that processes data including user data to provide recommendations and explanations for the recommendations to a user
  • Recommendation engine that processes data including user data to provide recommendations and explanations for the recommendations to a user

Examples

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example recommendations

[0050 may be, but are not limited to being, textual (e.g., a short 20 word comment), continuous (e.g., a ratings slider), discrete as in star ratings, pictorial (e.g., a representative picture, drawing, or photograph which most closely resembles the entity), auditory (e.g., a volume measurement or review), gestural (e.g., a swipe up or down), visual (e.g., an interpretive dance for the entity), or some combination thereof. Recommendations may involve adding edges or weights, either individually or some combination to one or more affinity graphs.

[0051]Some recommendations may not be intuitive to the primary user viewing the recommendation. The personalized recommendations system according to embodiments of the invention presents one or many explanations for why an entity has been included in a recommendation to a primary user or set of users. An explanation of the recommendation may or may not reflect computations performed to generate the recommendation or factors used to perform th...

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Abstract

Embodiments of the invention relate to a computer-implemented method for generating explanatory data from a personalized recommendations process for a primary user based at least on stored data about the primary user. The method comprises a server computer obtaining data related to one or more users who are relevant to the primary user, then determining at least one group of users relevant to the primary user. The server computer also obtains data related to one or more entities, determines one or more entities relevant to the primary user, and associates the at least one relevant group of users with the one or more relevant entities. One or more potential candidate factors are generated. A set of factors are selected from the one or more potential candidate factors, wherein the potential candidate factors are used as explanatory data to determine recommendations to the primary user.

Description

CROSS-REFERENCES TO RELATED APPLICATIONS[0001]This application claims priority from co-pending U.S. Provisional Patent Application No. 61 / 509,999 filed Jul. 20, 2011 entitled “Method and Apparatus for Explaining Recommendations”.[0002]The present disclosure may be related to the following commonly assigned U.S. Provisional patent applications:[0003]U.S. Provisional Patent Application No. 61 / 509,995 filed Jul. 20, 2011, entitled “Method and Apparatus for Category Based Navigation”,[0004]U.S. Provisional Patent Application No. 61 / 510,003 filed Jul. 20, 2011 entitled “Method and Apparatus for Allowing Users to Augment Searches”, and[0005]U.S. Provisional Patent Application No. 61 / 510,004 filed Jul. 20, 2011 entitled “Method and Apparatus for Quickly Evaluating Entities”.[0006]The respective disclosures of these applications / patents are incorporated herein by reference, as if set forth in full in this document, for all purposes.FIELD OF THE INVENTION[0007]The present invention relates t...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F17/30864G06F17/30699G06F17/30657G06F17/30705G06F17/30634G06F16/951G06F16/33G06F16/3331G06F16/335G06F16/35
Inventor BERNER, CHRISTOPHER ERIC SHOGOSCHIFF, JEREMY RYANREESE, COREY LAYNETWOHEY, PAUL KENNETH
Owner OPENTABLE
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