Incorporating recency in network search using machine learning
US8886641B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 15, 2009 |
| Grant date | Nov 11, 2014 |
| Priority date | — |
| Expiry date | May 7, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, access a set of recency ranking data comprising one or more recency search queries and one or more recency search results, each of the recency search queries being recency-sensitive with respect to a particular time period and being associated with a query timestamp representing the time at which the recency search query is received at a search engine, each of the recency search results being generated by the search engine for one of the recency search queries and comprising one or more recency network resources. Construct a plurality of recency features from the set of recency ranking data. Train a first ranking model via machine learning using at least the recency features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.