نتایج جستجو برای: query recommendation
تعداد نتایج: 89414 فیلتر نتایج به سال:
Large volume of queries over large volume of users allows search engine to build methods for generating query suggestion for input query. Query recommendation methods are powerful technique to generate related queries or alternate queries as a query suggestion for original query which is given by user in the search engine first time. In this review paper we discussed about query recommendation ...
Query recommendation, which suggests related queries to search engine users, has attracted a lot of attention in recent years. Most of the existing solutions, which perform analysis of users’ search history (or query logs), are often insufficient for long-tail queries that rarely appear in query logs. To handle such queries, we study the use of entities found in queries to provide recommendatio...
Query recommendation is a popular add-on feature of search engines, which provides related and helpful reformulations of a keyword query. Due to the dropping prices of smartphones and the increasing coverage and bandwidth of mobile networks, a large percentage of search engine queries are issued from mobile devices. This makes it possible to provide better query recommendations by considering t...
This article presents a technique to find semantically related queries from the search engine query log. The proposed technique is applied to the query recommendation task. The experiment is carried out on the log of user queries written in Thai. We first discuss the nature of Thai queries that makes the problem of finding related queries much more challenging. Not only are the queries short an...
This paper mainly presents about the explosion of various contents generated on the web, Recommendation techniques have become necessary. Many types of data sources are used for recommendations and these data sources can be modeled in the form of graph. Aiming at providing the general limit on mining web graphs, we illustrate the generalization of different recommendation problems into our grap...
The DBMS applications are becoming increasingly popular in the scientific community to support the interactive exploration of huge data. A result of heavy usage has also lead to a lot of tavles generated in the warehouse. This has tremendously increased the need for recommendation system & various tools for the user as user is not capable to explore such huge data by using Structured Query lang...
This thesis investigates OLAP analysis personalization within multidimensional databases.OLAP analyse is modeled through a graph where nodes represent the analysis contexts andgraph edges represent the user operations. The analysis context regroups the user query aswell as result. It is well described by a specific tree structure that is independent on thevisualization structure...
Query recommendation has been widely applied in modern search engines to help users in their information seeking activities. Recently, the queryflow graph has shown its utility in query recommendation. However, there are two major problems in directly using query-flow graph for recommendation. On one hand, due to the sparsity of the graph, one may not well handle the recommendation for many dan...
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