Results 311 to 320 of about 474,618 (366)

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, Kumar Abhishek, Akshay Deepak   +2 more
openaire   +2 more sources

A Context-Aware Click Model for Web Search

Web Search and Data Mining, 2020
To better exploit the search logs, various click models have been proposed to extract implicit relevance feedback from user clicks. Most traditional click models are based on probability graphical models (PGMs) with manually designed dependencies ...
Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma   +4 more
semanticscholar   +1 more source

A novel approach to personalize web search through user profiling and query reformulation

2014 International Conference on Data Mining and Intelligent Computing (ICDMIC), 2014
With a inundating of information in WWW (World Wide Web) users are often failed to retrieve search result in context of their interest through existing search engines.
Kamlesh Makvana, Pinal Shah, Parth Shah
semanticscholar   +1 more source

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, Andrew Turpin, Hugh E. Williams   +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

Comparing query logs and pseudo-relevance feedbackfor web-search query refinement

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007
Query logs and pseudo-relevance feedback (PRF) offer ways in which terms to refine Web searchers' queries can be selected, offered to searchers, and used to improve search effectiveness.
Ryen W. White, C. Clarke, Silviu Cucerzan   +2 more
semanticscholar   +1 more source

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, Ji-Rong Wen, Zhenxiao Luo, Ruihua Song, Hsiao-Wuen Hon   +4 more
openaire   +2 more sources

Learning deep structured semantic models for web search using clickthrough data

International Conference on Information and Knowledge Management, 2013
Latent semantic models, such as LSA, intend to map a query to its relevant documents at the semantic level where keyword-based matching often fails. In this study we strive to develop a series of new latent semantic models with a deep structure that ...
Po-Sen Huang, Xiaodong He, Jianfeng Gao, L. Deng, A. Acero, Larry Heck   +5 more
semanticscholar   +1 more source

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, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie   +5 more
semanticscholar   +1 more source

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, Ozmutlu, HÜSEYİN CENK, Spink, A   +2 more
openaire   +3 more sources