User behavior provides many cues to improve the relevance of search results through
personalization. One aspect of user behavior that provides especially strong signals for …

The concept of context awareness has been in existence since the 1990s. Though initially
applied exclusively in computer science, over time it has increasingly been adopted by …

Query Intent Detection using Convolutional Neural Networks Page 1 Query Intent Detection
using Convolutional Neural Networks Homa B. Hashemi, Amir Asiaee, Reiner Kraft QRUMS …

The dense vector representation of vocabulary terms, also known as word embeddings,
have been shown to be highly effective in many natural language processing tasks. Word …

A query considered in isolation offers limited information about a searcher's intent. Query
context that considers pre-query activity (eg, previous queries and page visits), can provide …

The context of a search query often provides a search engine meaningful hints for
answering the current query better. Previous studies on context-aware search were either …

The information needs of search engine users vary in complexity, depending on the task
they are trying to accomplish. Some simple needs can be satisfied with a single query …

An improved understanding of the relationship between search intent, result quality, and
searcher behavior is crucial for improving the effectiveness of web search. While recent …

It is crucial for query auto-completion to accurately predict what a user is typing. Given a
query prefix and its context (eg, previous queries), conventional context-aware approaches …

Abstract Internet-of-Things (IoT) promises to provide services to the end users by connecting
physical things around them through Internet. The conventional services build for web are …