Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/paper/412> ?p ?o. }
Showing items 1 to 15 of
15
with 100 items per page.
- 412 creator anlei-dong.
- 412 creator evgeniy-gabrilovich.
- 412 creator hongning-wang.
- 412 creator lihong-li.
- 412 creator yi-chang.
- 412 type InProceedings.
- 412 label "Joint Relevance and Freshness Learning From Clickthroughs for News Search".
- 412 sameAs 412.
- 412 abstract "In contrast to traditional Web search, where topical relevance is often the main selection criterion, news search is characterized by the increased importance of freshness. However, the estimation of relevance and freshness, and especially the relative importance of these two aspects, are highly specific to the query and the time the query was issued. In this work, we propose a unified framework for modeling the topical relevance and freshness, as well as their relative importance, based on click logs. We use click statistics and content analysis techniques to define a set of temporal features, which predict the right mix of freshness and relevance for a given query. Experimental results on both historical click data and editorial judgments demonstrate the effectiveness of the proposed approach.".
- 412 hasAuthorList authorList.
- 412 isPartOf proceedings.
- 412 keyword "Relevance and freshness modeling".
- 412 keyword "latent factors".
- 412 keyword "temporal features".
- 412 title "Joint Relevance and Freshness Learning From Clickthroughs for News Search".