A dialogue system that responds mechanically to given queries can be used for public relations prospective university students. However, as a user-specific problem, collecting information from first-time entrances and passive examinations is difficult, conventional may not collect sufficient information. Therefore, we developed recommendation-type supports gathering by evoking potential user re...

This notebook details the participation of the University of Massachusetts Amherst in the Cumulative Citation Recommendation task (CCR) of the TREC 2013 Knowledge Base Acceleration Track. Our interest in TREC KBA is motived by our research on entity-based query expansion. Query expansion is a successful information retrieval technique to improve recall, when not relevant documents contain the q...

Lots of data are gathered in datawarehouses that are navigated and explored for analytical purposes. Only recently has the problem of recommending a datawarehouse query to a datawarehouse user attracted attention. In this paper, we propose a simple formal framework for expressing datawarehouse query recommendations. We propose to see the problem of recommending a datawarehouse query for explora...

The Web of Data is growing in popularity and dimension, and named entity exploitation is gaining importance in many research fields. In this paper, we explore the use of entities that can be extracted from a query log to enhance query recommendation. In particular, we extend a state-of-the-art recommendation algorithm to take into account the semantic information associated with submitted queri...

Stock photo libraries are the most common means for publishers and advertisers to find images for their media. Searching for the perfect photo can be a time-consuming and frustrating task. This is because searching is often dependent on the descriptors or tags given to each photo by the editors and contributors to the library. The tagging process is subjective, further complicating the search p...

BACKGROUND An evaluation of exercise counseling practices among nephrologists in 2001 demonstrated few clinicians assessing patients' levels of physical activity (PA) and counseling to increase activity. Recent Kidney Disease Outcomes Quality Initiative (KDOQI) cardiovascular guidelines recommended that nephrologists counsel patients to increase PA. Our objective was to ascertain whether nephro...

We propose P2Prec, a P2P recommendation system for large-scale data sharing, which exploits friendship links. The main idea is to recommend high quality contents related to query topics and contents of friends (or friends of friends), who are expert on the topics related to the query. Expertise is implicitly deduced based on the contents stored by a user. To exploit friendship links, we rely on...

Deep Web is becoming a hot research topic in the area of database. Most of the existing researches mainly focus on Deep Web data integration technology. Deep Web data integration can partly satisfy people's needs of Deep Web information search, but it cannot learn users’ interest, and people search the same content online repeatedly would cause much unnecessary waste. According to this kind of ...

This paper presents a simple and intuitive method for mining search engine query logs for fast social filtering, where searchers are provided with dynamic query recommendations on a large-scale industrialstrength search engine.We adopt a dynamic approach that is able to absorb new and recent trends inweb usage trends on search engines, while forgetting outdated trends, thus adapting to dynamic ...

We explore several different document representation models and two query expansion models for the task of recommending blogs to a user in response to a query. Blog relevance ranking differs from traditional document ranking in ad-hoc information retrieval in several ways: (1) the unit of output (the blog) is composed of a collection of documents (the blog posts) rather than a single document, ...