Recommendation technology is designed to take the initiative to recommend using the user's history behavior information, without requiring users to explicitly specify the query case information. Collaborative filtering is the most widely recommended technique. However, some problems of the traditional collaborative filtering recommendation system still exist, and these problems significantly af...

This paper presents an interactive query expansion method with association thesaurus, which is mined from the ‘selected web pages’ of users in the query logs. The ‘selected web pages’ of users are transferred into ‘sets of query terms’ and then used for term correlation mining. Accordingly, various association thesauruses concerning different query terms are constructed from these term correlat...

This paper proposes a manipulation language tailored for OLAP query logs, stemming from the relational algebra. This language is based on binary relations over sequences of queries (called sessions). We propose two such relations allowing to group and order sessions. Examples of expressions in this language illustrate its interest for various user-centric approaches, like query recommendation o...

In this position paper, we consider extending relational database systems with a recommendation functionality. In particular, we propose that, along with the results of each query, the user gets additional recommended results that we call “You May Also Like” or Ymal results. We discuss a suite of different approaches to computing Ymal results and exploit one that uses only the database content ...

This paper presents a new technology aimed at supporting the user in the process of building a query to a catalogue of products. It is shown how a mediator architecture can be extended to support the relaxation or tightening of query constraints when no or too many results are retrieved from the catalogue. This paper presents the architecture and the basic algorithms of this Intelligent Mediato...

Application Programming Interfaces (APIs), which encapsulate the implementation of specific functions as interfaces, greatly improve efficiency modern software development. As number APIs grows up fast nowadays, developers can hardly be familiar with all and usually need to search for appropriate usage. So lots efforts have been devoted improving API recommendation task. However, it has increas...

Mobile search not only inherits some features of traditional search on PC, but also has many of its own special characteristics. In this paper, we firstly share some unique features about mobile search and discuss why vertical search is preferred. Providing multiple vertical searches is proved to be convenient to users but causes some minor problem as well. This plays as the initiative for us t...

Motivated by recent developments in the dataspaces, web, and personal information management communities, we outline research directions on query processing for SPARQL, the W3C recommendation language for querying RDF triple stores. The core of each SPARQL query is a basic graph pattern (BGP). BGP is a little logic for extracting subsets of related nodes in an RDF graph. In this paper we undert...

search engine queries whose aim is to identify groups of queries used to search for similar information on the Web. The framework is based on a novel term vector model of queries that integrates user selections and the content of selected documents extracted from the logs of a search engine. The query representation obtained allows us to treat query clustering similarly to standard document clu...