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Query Expansion for Improving Web Search

Journal of Computational and Theoretical Nanoscience, 2020
The aim of this paper is to retrieve the most relevant expansion words for expanding the initial query of the user in order to enhance the outcomes of web search results. Query expansion plays a major role in reformulating a user’s initial query to a one more pertinent to the user’s intended meaning.
Hiteshwar Kumar Azad   +2 more
openaire   +2 more sources

Query association surrogates for Web search

Journal of the American Society for Information Science and Technology, 2004
AbstractCollection sizes, query rates, and the number of users of Web search engines are increasing. Therefore, there is continued demand for innovation in providing search services that meet user information needs. In this article, we propose new techniques to add additional terms to documents with the goal of providing more accurate searches.
Falk Scholer   +2 more
openaire   +2 more sources

Querying and searching the deep web

Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017
The term Deep Web (sometimes also called Hidden Web) [2, 5, 8] refers to the data content that is accessible through Web pages, typically via HTML forms, but is not available on static pages for indexing by search engines. Deep Web data reside in databases and are made available dynamically, as Web pages, upon a specific search or query.
openaire   +2 more sources

Identifying ambiguous queries in web search

Proceedings of the 16th international conference on World Wide Web, 2007
It is widely believed that some queries submitted to search engines are by nature ambiguous (e.g., java, apple). However, few studies have investigated the questions of "how many queries are ambiguous?" and "how can we automatically identify an ambiguous query?" This paper deals with these issues.
Yong Yu   +4 more
openaire   +2 more sources

Trends in multimedia Web searching: excite queries

Proceedings. International Conference on Information Technology: Coding and Computing, 2005
This paper provides results from a study analyzing current trends in multimedia Web searching. The following results were found: (1) multimedia searches are more complex than general searches in queries per user session and terms per query, and (2) audio queries are the most popular type of multimedia queries (compared to video and image queries) in ...
Ozmutlu, SEDA   +2 more
openaire   +3 more sources

Neural Demographic Prediction using Search Query

Web Search and Data Mining, 2019
Demographics of online users such as age and gender play an important role in personalized web applications. However, it is difficult to directly obtain the demographic information of online users.
Chuhan Wu   +5 more
semanticscholar   +1 more source

Towards Web Search by Sentence Queries: Asking the Web for Query Substitutions

2011
In this paper, we propose a method to search the Web for sentence substitutions for a given sentence query. Our method uses only lexico-syntactic patterns dynamically generated from the input sentence query to collect sentence substitutions from the Web on demand.
Yusuke Yamamoto, Katsumi Tanaka
openaire   +2 more sources

Query aspects approach to web search

Web Intelligence, 2016
This paper introduces an aspect based model for analysing search queries, where queries are represented as aspects or concepts instead of “bag of words” or strings. A search query may consist of multiple aspects, while some aspects are covered well in the search results and some others are underrepresented.
Daniel Crabtree   +2 more
openaire   +2 more sources

Identification of ambiguous queries in web search

Information Processing & Management, 2009
It is widely believed that many queries submitted to search engines are inherently ambiguous (e.g., java and apple). However, few studies have tried to classify queries based on ambiguity and to answer ''what the proportion of ambiguous queries is''. This paper deals with these issues.
Zhenxiao Luo   +4 more
openaire   +2 more sources

Query taxonomy generation for web search

Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06, 2006
We propose an approach that organizes the search-result clusters into a hierarchical structure, called a query taxonomy, from the user's perspective. The proposed approach is based on an unsupervised classification method, which uses the dynamic Web as the training corpus.
Pu-Jeng Cheng   +3 more
openaire   +2 more sources

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