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[PDF] Top 20 Exploring Pseudo-Relevance Feedback for Microblog Search

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Exploring Pseudo-Relevance Feedback for Microblog Search

Exploring Pseudo-Relevance Feedback for Microblog Search

... the pseudo-relevance feedback process harms the performance of microblog search, whereas hashtags can be identical symbols to identify sparse tweets from a large ...new search ... See full document

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													Comparative study for research in information retrieval

1. Comparative study for research in information retrieval

... w.r.t. Relevance Feedback models – Implicit, Explicit and Pseudo and concludes that out of the three relevance feedback models, Distribution separation of relevant and non relevant ... See full document

7

VisArchive: a time and relevance based visual interface for searching, browsing, and exploring project archives

VisArchive: a time and relevance based visual interface for searching, browsing, and exploring project archives

... are search and query interfaces that provide some temporal context to the search re- ...their search results and to sort or filter by time can be very useful (Alonso et ...Commercial search ... See full document

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NPRF: A Neural Pseudo Relevance Feedback Framework for Ad hoc Information Retrieval

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad hoc Information Retrieval

... - On top of BM25, we use an adapted version of Rocchio’s query expansion (Ye et al., 2009), de- noted as BM25+QE. Note that, as demonstrated in the results, BM25+QE’s performance is com- parable with the base neural IR ... See full document

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Enhance web search results using user feedback sessions

Enhance web search results using user feedback sessions

... Most search engines in use today present the user a single ordered list of documents matching the search ...of search results, this method of displaying results often limits the effectiveness of the ... See full document

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Title: Categorization of Search Results using Feedback Sessions

Title: Categorization of Search Results using Feedback Sessions

... user search goals for an ambiguous query while submitting it to search ...user search goals are very useful. It can help to improve search engine relevance and user ...user ... See full document

9

A Novel Approach to Discover User Search Goals
          Using Clickthrough Data

A Novel Approach to Discover User Search Goals Using Clickthrough Data

... to search engine doesn’t satisfy user information needs, because different users may have different information needs on diverse aspects upon submission of same query/topic to search ...user search ... See full document

5

Improving biomedical information retrieval with pseudo and explicit relevance feedback

Improving biomedical information retrieval with pseudo and explicit relevance feedback

... Creating exercise plans is a complex task, requiring knowledge about many influencing factors, such as side effects of treatments and exercise physiology. To aid medical professionals in this task and improve the quality ... See full document

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Structure Cognizant Pseudo Relevance Feedback

Structure Cognizant Pseudo Relevance Feedback

... for pseudo relevance feedback ...general search from subsets such as Wikipedia, wherein documents typically have a minimally fixed set of fields, ... See full document

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Incorporating Semantic Word Representations into Query Expansion for Microblog Information Retrieval

Incorporating Semantic Word Representations into Query Expansion for Microblog Information Retrieval

... the pseudo-rel- evance feedback query expansion method based on local analysis achieves comparable results with the word vector based query expansion method based on global ...do-relevance ... See full document

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An Efficient Algorithm to Reduce the Semantic Gap between Image Contents and Tags

An Efficient Algorithm to Reduce the Semantic Gap between Image Contents and Tags

... Pseudo relevance feedback [5] [16] is an important technique for improving the accuracy of retrieval ...of pseudo-relevance feedback: assume a small number of top-ranked images ... See full document

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Relevance Feedback Techniques in Content Based Image Retrieval : A Survey

Relevance Feedback Techniques in Content Based Image Retrieval : A Survey

... Vasconcelos and Lippman (2000) [6] used a Bayesian learning algorithm that integrate relevance feedback provided by the user over a retrieval session. Through experimental results, they demonstrate ... See full document

5

Query exhaustivity, relevance feedback and search success in automatic and interactive query expansion

Query exhaustivity, relevance feedback and search success in automatic and interactive query expansion

... the search success the documents for the four TREC topics were analysed by using a four-level relevance scale reflecting the degree of relevance of the ... See full document

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Multimedia Queries by Example and Relevance Feedback

Multimedia Queries by Example and Relevance Feedback

... Interactive multimedia databases such as Informedia [2, 15] present an intriguing challenge. Museum kiosks, public media archives, and similar systems require simple interfaces; museum patrons should not need to learn a ... See full document

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Interactive query expansion and relevance feedback for document retrieval systems

Interactive query expansion and relevance feedback for document retrieval systems

... xviii ABSTRACT Abstract This thesis is aimed at investigating interactive query expansion within the context of a relevance feedback system that uses term weighting and ranking in search[r] ... See full document

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Information Retrieval by Using Relevance Feedback

Information Retrieval by Using Relevance Feedback

... Neighbor search, the Rank Cover Tree (RCT), The pruning, check for RCT take delivery of the assessment of similarity values now not on the opposite houses of the underlying vicinity, including the triangle ... See full document

6

Query Expansion Strategy based on Pseudo Relevance Feedback and Term Weight Scheme for Monolingual Retrieval

Query Expansion Strategy based on Pseudo Relevance Feedback and Term Weight Scheme for Monolingual Retrieval

... The group of words for query expansion is selected using the following approaches: the highest score, average score and a group of words that has maximum number of keywords.. As each que[r] ... See full document

6

Exploring the Relevance of Search Engines: An Overview of Google as a Case Study

Exploring the Relevance of Search Engines: An Overview of Google as a Case Study

... conventional search engines like Google are kept as strategies with good reception to do search ...of search engines, more specifically, to analyze the relevance of findings based on the ... See full document

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Diverse relevance feedback for time series with autoencoder based summarizations

Diverse relevance feedback for time series with autoencoder based summarizations

... utilizing relevance feed- back (RF) for time series, which has enjoyed a great deal of attention in information ...based relevance feedback in our PVLDB paper ...the search process continues ... See full document

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Relevance Feedback Models for Recommendation

Relevance Feedback Models for Recommendation

... Our approach is based on the advancement in language modeling approaches to information re- trieval (IR) (Croft and Lafferty, 2003) and extends these to incorporate CF. The motivation behind our approach is the analogy ... See full document

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