Code Search Based on Alteration Intent

SnippetGen: Enhancing the Code Search via Intent Predicting

To enable the cod sarch results to run immediately without any subsequent modification, an intent-enhanced code search approach (IECS) is proposed. It has the ability of intent predicting to guess what else a user might do after obtaining the search results. Based on the intent-relevant semantic and structural matches, IECS improves the performance of code search by incorporating the intent for...

From Intent to Code

User Model-Based Intent-Aware Metrics for Multilingual Search Evaluation

Despite the growing importance of multilingual aspect of web search, no appropriate offline metrics to evaluate its quality are proposed so far. At the same time, personal language preferences can be regarded as intents of a query. This approach translates the multilingual search problem into a particular task of search diversification. Furthermore, the standard intent-aware approach could be a...

An Ontology-based Mining Approach for User Search Intent Discovery

Discovering proper search intents is a vital process to return desired results. It is constantly a hot research topic regarding information retrieval in recent years. Existing methods are mainly limited by utilizing context-based mining, query expansion, and user profiling techniques, which are still suffering from the issue of ambiguity in search queries. In this paper, we introduce a novel on...

DS-SS code acquisition based on simultaneous search and verification

A double-dwell acquisition system that can simultaneously operate search and verification processes, by employing two correlation blocks, is proposed. The search block continuously looks for threshold-crossing instants, and at those instants, the verification block is reset and reinitiated. The threshold is time varying and updated depending on the partial correlation. Computer simulation resul...