US 2008/0189232 A1 · INDICATOR-BASED RECOMMENDATION SYSTEM

Abstract

A recommendation system and method uses data structured according to an indicator-based recommendation paradigm. Items to be considered for recommendation are stored in a text retrieval system, along with associated meta-data such as title and description. To these conventional characteristics are added additional characteristics known as indicators which are derived from an analysis of the usage of the system by users. This indicator-based system provides a more robust recommendation system that is able to capture a greater depth and variety of real-world relationships among items, and is able to handle p-adic systems and systems with ternary or higher relations.

Claims3

Dependent claims

A method for generating recommendations, comprising:

storing a plurality of items;
for each item, storing metadata;
analyzing behavior of at least one user with respect to at least one of the stored items;
for at least one of the stored items:
deriving indicators from the observed behavior;
and
storing the derived indicators;
and
generating at least one recommendation based on the stored indicators.

6 more elements

Dependencies are inferred from the claim text.

Facts

Application

12/023,597Filed 31 Jan 2008

Priority

2 Feb 2007

Published

7 Aug 2008

Term ends

Not estimatedThe source records don’t support an estimate.

Classification5 codes

G06F 16/78
Of video data: retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
G06F 16/907
Details of database functions independent of the retrieved data types: retrieval characterised by using metadata, e.g. metadata not derived from…
G06N 20/00
Machine learning
G06F
Computing and data processing

Indicator-based recommendation system

Life of this patent

Indicator-based recommendation system

Life of this patent

Abstract

Claims3