Method and system for personalisation of digital information

• US 20040030996A1
• Filed: 06/18/2003
• Published: 02/12/2004
• Est. Priority Date: 08/30/2000
• Status: Abandoned Application

• Current Assignee: Koninklijke KPN NV
• Original Assignee: Koninklijke KPN NV
• Inventors: Van Liempd, Egidius Petrus Maria, Bultje, Rene Martin
• Application Number:
  US10/362,622
• Publication Number:
  US 20040030996A1
• Time in Patent Office: Days
• US Class Current: 715/526
• CPC Class Codes: G06F 16/3332 Query translation
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

System for automatic selection of messages from a message source (1) to a user terminal (2). A server (3) comprises a register (5) for storing an interest vector of the terminal user. Vectorising means (7) generate a content vector for each message. Comparison means (9) compare the content vector with the interest vector and calculate their distance, while transmission means (6) transfer to the user terminal messages for which the distance between the two vectors does not exceed a threshold value. The vectorising means reduce the content vector by means of “Latent Semantic Indexing”. The user terminal (2) comprises means (12) for assigning to each message a first relevance weighting and also means (14) for measuring treatment variables from the user'"'"'s treatment of the presented message and for calculating from this a second relevance weighting. Means (13) in the server update the terminal user'"'"'s interest profile on the basis of the transferred first and second relevance weighting.

Claims

1. Method for automatic selection and presentation of digital messages for a user, CHARACTERISED BY the following steps:

an interest profile of the user is generated in the form of an interest vector in a K-dimensional space in which K is the number of characteristics that discriminate whether a document is or is not considered relevant for the user, wherein a weight is assigned to each word by the user in accordance with the importance assigned by the user to that word;

for each message, on the basis of words occurring in the message, a content vector is generated in an N-dimensional space in which N is the total number of relevant words over all messages, with a weight being assigned to each word occurring in the message in proportion to the number of times that the word occurs in the message relative to the number of times that the word occurs in all messages;

the content vector is compared with the interest vector and their distance is calculated;

messages for which the distance between the content vector and the interest vector does not exceed a given threshold value are presented to the user.

2. Method according to claim 1, CHARACTERISED IN THAT the content vector, before being compared with the interest vector, is reduced by means of “

Latent Semantic Indexing”

.

3. Method according to claim 1, CHARACTERISED IN THAT the “

cosine measure”

of the distance between the content vector and the interest vector is calculated.

4. Method according to claim 1, CHARACTERISED IN THAT the messages are sorted by relevance on the basis of the respective distances between their content vector and the interest vector, and that the messages sorted by relevance are offered to the user.

5. Method according to claim 1, CHARACTERISED IN THAT the user can assign to each presented message a first relevance weighting by which the user'"'"'s interest profile is adjusted.

6. Method according to claim 1, CHARACTERISED IN THAT treatment variables are measured from the user'"'"'s treatment of the presented message and that from the measured values of these treatment variables a second relevance weighting is calculated by which the user'"'"'s interest profile is adjusted.

8. System according to claim 1, CHARACTERISED IN THAT the vectorising means reduce the content vector by means of “

Latent Semantic Indexing”

.

9. System according to claim 1, CHARACTERISED IN THAT the comparison means calculate the “

cosine measure”

of the distance between the content vector and the interest vector.

10. System according to claim 1, CHARACTERISED IN THAT the comparison means and the transmission means transfer the messages, sorted by relevance on the basis of the respective distances between their content vector and the interest vector, to the user terminal.

11. System according to claim 1, CHARACTERISED IN THAT the user terminal (2) comprises means (12) for assigning to each transferred message a first relevance weighting and for transferring this to the server (3), as well as means (13) in the server for adjusting the terminal user'"'"'s interest profile on the basis of the transferred first relevance weighting.

12. System according to claim 1, CHARACTERISED IN THAT the user terminal (2) comprises means (14) for measuring treatment variables from the user'"'"'s treatment of the presented message and for calculating from the measured values of these treatment variables a second relevance weighting and transferring this to the server (3), as well as means (13) in the server for adjusting the terminal user'"'"'s interest profile on the basis of the transferred second relevance weighting.

7. System for automatic selection and presentation of digital messages from a message source (1) to a user terminal (2), CHARACTERISED BY a server (3), comprising a register (5) for storing an interest profile of the terminal user in the form of an interest vector in a K-dimensional space in which K is the number of characteristics that discriminate whether a document is or is not considered relevant for the user, the user assigning a weight to each word in accordance with the importance assigned by the user to that word;

vectorising means (7) for generating a content vector for each message on the basis of words occurring in the message, in an N-dimensional space in which N is the total number of relevant words over all messages, wherein said means assign to each word occurring in the message a weight in proportion to the number of times that the word occurs in the message relative to the number of times that the word occurs in all messages;

comparison means (9) for comparing the content vector with the interest vector and calculating their distance;

transmission means (6) for the transfer to the user terminal of messages for which the distance between the content vector and the interest vector does not exceed a given threshold value.