In this work, we propose a machine-learned document assignment strategy that uses the locality of document views in search results to decide upon assignments.

In this work, we propose a machine-learned document assignment strategy that uses the locality of document views in search results to decide upon assignments.

ABSTRACT. Assigning documents accurately to sites is critical for the perfor- mance of multi-site Web search engines. In such settings, sites.

This work proposes a machine-learned document assignment strategy that uses the locality of document views in search results to decide upon assignments and ...

In this work, we propose a machine-learned document assignment strategy that uses the locality of document views in search results to decide upon assignments.

In this work, we propose a machine-learned document assignment strategy that uses the locality of document views in search results to decide upon assignments.

Document assignment in multi-site search engines · Google Scholar · Internet Archive Scholar · Semantic Scholar ...

Assigning documents accurately to sites is critical for the performance of multi-site Web search engines. In such settings, sites crawl only documents they ...

Bibliographic details on Document assignment in multi-site search engines.

Search engines are a category of information retrieval systems designed to supply a subset of items from a population based on a specified set of criteria.