Abstract Reporting is an essential part of business, today, and people spend a lot of time creating meaningful visualizations of their most important data. Surprisingly, the reuse of reports (i.e., applying the same visualization or query on di↵erent data) is not common. The recommendation of proven, existing queries represents one part of this reuse. Since there are several report formats and ...

In social tagging systems, users are allowed to label resources with tags, and thus the system builds a personalized tag vocabulary for every user based on their distinct preferences. In order to make the best of the personalized characteristic of users’ tagging behavior, firstly the transfer matrix is used in this paper, and the tag distributions of query resources are mapped to users’ query b...

In Business Intelligence systems, users interact with data warehouses by formulating OLAP queries aimed at exploring multidimensional data cubes. Being able to predict the most likely next queries would provide a way to recommend interesting queries to users on the one hand, and could improve the efficiency of OLAP sessions on the other. In particular, query recommendation would proactively gui...

This paper describes an approach to product recommendation that combines in a novel way contentand collaborative-based filtering techniques. The system helps the user to specify a query that filters out unwanted products in electronic catalogues (content-based). Moreover, if the query produces too many or no results, the system suggests useful query changes that save the gist of the original re...

Building and combining document and music spaces of songs are discussed for a new music recommendation application, which uses commonly read texts such as Web log as query input. The most important application of this flexible recommendation system is its music query-by-Webpage, from which a song that appropriately matches Webpage is automatically played. The key idea of the proposed system is ...

Recommendation systems aim to recommend items or packages of items that are likely to be of interest to users. Previous work on recommendation systems has mostly focused on recommending points of interest (POI), to identify and suggest top-k items or packages that meet selection criteria and satisfy compatibility constraints on items in a package, prior work, this paper investigates two issues ...

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 information retrieval technique for improving recall by augmenting the original query terms with other ...

web search engines are one of the most popular tools on the internet which are widely-used by expert and novice users. constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. query expansion is a way to reduce this concern and increase user satisfaction. in this paper, a new method of query expa...