نتایج جستجو برای: query recommendation
تعداد نتایج: 89414 فیلتر نتایج به سال:
Predictive modeling in buildings is a key task for the optimal management of building energy. Relevant operational data are prerequisite such task, notably when deep learning used. However, not always available, case newly built, renovated, or even yet built buildings. To address this problem, we propose similarity approach to recommend relevant training target solely by using minimal contextua...
Due to tremendous growth in growth of internet over recent years, huge amount of data collected over the web and search engine users facing problem in search a relevant information by writing few keywords, search engine returns a number of result page and then user have to spend long time to search a relevant information from number of result. In this paper, we propose a hybrid approach for opt...
The query submitted by the user is only a partial and often ambiguous expression of his need. This implies that it is essential to suggest to the users the most related queries to the context of their queries. However, the notion of context is quite broad and includes all the elements related to the query (Its field, its environment, the user profile, his preferences and his search history). In...
Recently web has been widely used for getting different kinds of information. Web mining is considered to store the information in a specific format known as weblog. This valuable mined information can be used in many applications such as query log analysis, query recommendation, query reformulation and many more for improved performance of search engine. Search engine provide the platform for ...
Query recommendation helps users to describe their information needs more clearly so that search engines can return appropriate answers and meet their needs. State-of-the-art researches prove that the use of users’ behavior information helps to improve query recommendation performance. Instead of finding the most similar terms previous users queried, we focus on how to detect users’ actual info...
Query recommender systems give users hints on possible interesting queries relative to their information needs. Most query recommenders are based on static knowledge models built on the basis of past user behaviors recorded in query logs. These models should be periodically updated, or rebuilt from scratch, to keep up with the possible variations in the interests of users. We study query recomm...
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