The TREC 2009 web ad hoc and relevance feedback tasks used a new document collection,
the ClueWeb09 dataset, which was crawled from the general web in early 2009. This …

The overall goal of the track is to perform entity-oriented search tasks on the World Wide
Web. Many user information needs concern entities (people, organizations, locations …

Most standard information retrieval models use a single source of information (eg, the
retrieval corpus) for query formulation tasks such as term and phrase weighting and query …

In this paper we investigate the task of Entity Ranking on the Web. Searchers looking for
entities are arguably better served by presenting a ranked list of entities directly, rather than …

Related entity finding is the task of returning a ranked list of homepages of relevant entities
of a specified type that need to engage in a given relationship with a given source entity. We …

In this paper, we propose a probabilistic survival model derived from the survival analysis
theory for measuring aspect novelty. The retrieved documents' query-relevance and novelty …

Recommender systems aim at automatically providing objects related to user's interests. The
angular stone of such systems is a way to identify documents to be recommended. Indeed …

Traditional retrieval models may provide users with less satisfactory search experience
because documents are scored independently and the top ranked documents often contain …

Queries submitted to a web search engine are typically short and often ambiguous. With the
enormous size of the Web, a misunderstanding of the information need underlying an …

In TREC 2014, we focus on tackling the challenges posed by the Contextual Suggestion and
Temporal Summarisation tracks, as well as enhancing our existing technologies to tackle …