Mining relevant solutions for programming tasks from search engine results
نویسندگان
چکیده
Official documentation of software development technologies, for example, APIs, may not be sufficient all developer needs, so searching on the Internet is a usual practice. Nonetheless, finding useful information challenging because best solutions are always among first ranked pages. Developers need to read and discard irrelevant pages, that is, those without code examples or have content with little focus desired solution. This work aims at proposing an approach mine relevant programming tasks from search engine results by removing The authors evaluated top-20 pages returned Google engine, 10 different queries, observed only 31% developers. Then, proposed three approaches engine. Google's has been used as baseline, authors’ shown it returns reasonable number developers, could establish effective remove suggesting developers benefit customised web filter content.
منابع مشابه
External Search Engine Mining
Search engines maintain large amounts of valuable data, such as web content, user queries, clicks, and browsing trails. This data is fully accessible only to the search engines themselves. Other parties, like users, advertisers, and researches, have very limited access to the data via public interfaces provided by search engines (e.g., the search interface). External techniques for mining searc...
متن کاملRelevant Data Clustering In Web Search Engine
As the number of web pages grows in informational retrieval engines we did not find the relavent documents ,so by using clustering concept we can find relavant documents . The main purpose of clustering techniques is to partitionate a set of entities into different groups, called clusters. These groups may be consistent in terms of similarity of its members. As the name suggests, the representa...
متن کاملQuery Recommendation for Improving Search Engine Results
As web contents grow, the importance of search engines become more critical and at the same time user satisfaction decreases. Query recommendation is a new approach to improve search results in web. In this paper a method is proposed that, given a query submitted to a search engine, suggests a list of queries that are related to the user input query. The related queries are based on previously ...
متن کاملLeveraging Search Engine Results for Query Classification
Web query classification is significant to search engines for the purpose of efficient retrieval of appropriate results in response to user queries. User queries are short in nature, contain noise and are ambiguous in terms of user intent. In this paper, we present different features—such as snippets, page content and titles of search engine results for a given query—that can be used to enhance...
متن کاملOn Caching Search Engine Results
In this paper we explore the problem of Caching of Search Engine Query Results in order to reduce the computing and I/O requirements needed to support the functionality of a search engine of the worldwide web. Based on traces from search engines we show that there is signiicant locality in the queries asked, that is, 20-30% of the queries have been previously submitted by the same or a diierent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IET Software
سال: 2023
ISSN: ['1751-8806', '1751-8814']
DOI: https://doi.org/10.1049/sfw2.12127