Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2010/paper/main/777> ?p ?o. }
Showing items 1 to 18 of
18
with 100 items per page.
- 777 creator anlei-dong.
- 777 creator bai-jing.
- 777 creator fernando-diaz.
- 777 creator hongyuan-zha.
- 777 creator pranam-kolari.
- 777 creator ruiqiang-zhang.
- 777 creator yi-chang.
- 777 creator zhaohui-zheng.
- 777 type InProceedings.
- 777 label "Use Twitter Data for Recency Ranking Improvement in Web Search".
- 777 sameAs 777.
- 777 abstract "Twitter is a social network and a micro-blogging service, which becomes very popular nowadays. People use Twitter to exchange messages, which contain fresh and useful information. This paper proposes a ranking system for web search which utilizes Twitter data to improve ranking results, especially to improve the freshness of ranking results. We treat the urls that were ever referred by Twitter users (called as Twitter urls) differently compared with regular urls. A challenging problem for Twitter urls is that they lack click information and anchor-text information due to their freshness, which restrict them from being promoted appropriately in ranking results. We analyze the unique characteristics within the twitter microcosm such as Twitter users’ following relationship and the texts of tweets, and we use them as new evidences for ranking Twitter urls appropriately in web search. We then use a compositional modeling algorithm to fully use the available data and different categories of rank features. This approach solves the dilemma in recency ranking that fresh documents cannot be promoted appropriately due to the lack of favorable rank features that need to be aggregated over time. To evaluate ranking results, we not only incorporate recency demotion into discounted cumulative grade (DCG) for stale documents, but also use discounted cumulative freshness (DCF) to evaluate the most fresh documents in ranking results. The efficacy of this approach is illustrated by the experiments on real data.".
- 777 hasAuthorList authorList.
- 777 isPartOf proceedings.
- 777 keyword "Use of social metadata".
- 777 keyword "annotations in search".
- 777 keyword "mining".
- 777 title "Use Twitter Data for Recency Ranking Improvement in Web Search".