Titlebook: Advances in Information Retrieval; 36th European Confer Maarten Rijke,Tom Kenter,Katja Hofmann Conference proceedings 2014 Springer Interna

vasculitis

Barry B. Halliwell,Henrik E. Poulsenpredictive models of search task difficulty. We evaluate features derived from the user’s interaction with the search engine as well as features derived from the user’s level of interest in the task and level of prior knowledge in the task domain. In addition to user-interaction features used in pri

宇宙你

做事過頭

https://doi.org/10.1007/978-94-6300-929-4vailable experts in the crowd are difficult to target. Adapting an expert task into a non-expert user task, thereby enabling the ordinary “crowd” to accomplish it, can be a useful approach. We studied whether a simplified version of an expert annotation task can be carried out by non-expert users. U

裙帶關(guān)系

Erika Causa,Ricardo Fradique,Pietro Cicutak rely on query logs and are thus difficult to use in many circumstances. We propose a method for domain-specific synonym discovery that requires only a domain-specific corpus. Our method substantially outperforms previously proposed methods in realistic evaluations. Due to the difficulty of identif

里程碑

https://doi.org/10.1007/978-1-0716-3507-0. Most existing algorithms focus their attention on identifying one or more structures –such as relationship chains or subgraphs– between the entities. The burden of interpreting these results, after combining with contextual information and description of relationships, lies with the user. In this

過于光澤

Jargon

Daisuke Takao,Kristen J. Verheyquently, traditional evaluation metrics were typically designed to take a length cutoff . of the result list as a parameter. For example, one computes DCG@., Prec@., etc., based on the top-. results in the ranking list. However, there are important modern ranking applications where the result real e

CODA

北京人起源

Cynthia M. Grimsley-Myers,Ping Chen. into a single result list, a setting that has not been studied before. We focus on video intent and present a detailed observational study of Yandex’s two video content sources (i.e., the specialized vertical and a subset of the general web index) thus providing insights into their complementary c

ETCH