• No results found

Content Explorer: Recommending Novel Entities for a Document Writer

N/A
N/A
Protected

Academic year: 2020

Share "Content Explorer: Recommending Novel Entities for a Document Writer"

Copied!
10
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 2: A heatmap showing what percentage of timesa context entity (row) is followed by a particular targetentity (column).
Figure 3: Neural network architectures applied to the entity recommendation problem.
Table 2: Example inputs and corresponding top 4 entity predictions from the models.

References

Related documents

We design two different algorithms for delay-tolerant offloading of large, socially recommended content from 3G networks (MixZones, based on opportunistic trans- fers and

O, measurements of phage neutralization expressed as D(--ln p/po), where D represents the dilution of each fraction from the gradient prior to phage assay, and p/po

Pitanje koje se nameće je opravdanost izostanka naknade za ograničenja koja proizlaze iz zakonskih služnosti, pogotovo ako imamo u vidu relevantne odredbe Ustava te Zakona

Given the importance of such studies at controlling further pollution and safeguarding economic, social and health well-being of human populations, this study

For instance, in the Intel micro-architecture, the events are provided by Processor Monitoring Units (PMU) and are accessible through the perf_events subsystem provided by the

Lessee shall use and occupy the Leased Premises (i) to engage in farming, community, educational and charitable activities in accordance with that certain Town Farm Plan of

To identify correctional staff members’ perceptions of the effectiveness of the GED program, I posed the following research question: How do correctional staff members of

Kg of P controlled per year by Clean Water Diversion = # of animals x animal phosphorus factor x days x 0.02..