Mixed-model recommender for leisure activities

Details Mixed-model recommender for leisure activities Mixed-model recommender for leisure activities

2007-09-18

2010-06-22

Ehichioya, Fred I (Department: 2156)

Data processing: database and file management or data structures

Database and file access

Record, file, and data search and comparisons

C707S999100, C707S999200

Reexamination Certificate

active

07743067

ABSTRACT:
One embodiment of the present invention provides a method for recommending leisure activities to a user. During operation, the system receives at least one query for leisure activities. The system then determines a collaborative filtering score of a candidate activity based on a collaborative filtering model, a soft query score for the candidate activity based on a soft query model, a content preference score for the candidate activity based on a content preference model and the user's past behavior, and a distance score for the candidate activity based on a distance model. Next, the system generates a composite score for the candidate activity by calculating a weighted average of the collaborative filtering score, the soft query score, the content preference score, and the distance score. The system further returns a recommendation list containing the activities with the highest composite scores.

REFERENCES:
patent: 2002/0188589 (2002-12-01), Salmenkaita
patent: 0208854 (2002-01-01), None
Glance et al, Making Recommender Systems Work for Organizations, 1999, PAAM, pp. 1-20.
Shahabi et al, A Unified Framework to Incorporate Soft Query Into Image Retrieval Systems, Jul. 2001, ICEIS, pp. 1-9.

Affiliated with

Also associated with

Rating

Mixed-model recommender for leisure activities does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Mixed-model recommender for leisure activities, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Mixed-model recommender for leisure activities will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4193730