CONTENT-BASED RECOMMENDATIONS ACROSS DOMAINS

摘要

A method for content-based recommendation across domains, comprises: obtaining first and second sets of content items in two respective domains, getting a grading team to grade items, then for each pair of first set item - second set item, calculating an individual pseudo-distance value as a distance function of a respective grading user's rankings for the pair of items. Then the pseudo-distances are averaged over all of the graders in the team to provide overall pseudo-distances for each pair, thus setting up a cross content database between the first and second domains. The end user grades the items of the first set and the grades are used in a function that weights them with the pseudo-distances in the database. The weighting function gives forecast grades to the items in the second set and those with the highest grades can be output to the end user.