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Context Search

Pavol Navrat, Tomas Taraba
2007 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops  
This information defines context and augments search query in subsequent phases of search to attain better search results. There are several methods for searching with context.  ...  We took Rank-Biasing as a base and schemed out a modification hypothesizing that this will enable the method to fetch more relevant results in specific areas by taking advantage of knowledge based on additional  ...  Introduction A person formulating search query on the web is doing this with some context in mind. In many cases he works with other documents, files or web pages.  ... 
doi:10.1109/wi-iatw.2007.67 fatcat:3y7v5bdrofexhc3fhondks5r5q

Context Search

Pavol Navrat, Tomas Taraba
2007 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops  
This information defines context and augments search query in subsequent phases of search to attain better search results. There are several methods for searching with context.  ...  We took Rank-Biasing as a base and schemed out a modification hypothesizing that this will enable the method to fetch more relevant results in specific areas by taking advantage of knowledge based on additional  ...  Introduction A person formulating search query on the web is doing this with some context in mind. In many cases he works with other documents, files or web pages.  ... 
doi:10.1109/wiiatw.2007.4427549 dblp:conf/iat/NavratT07 fatcat:4lncqbr4ezbvnjbid46xftmfli

Context-aware ranking in web search

Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
Furthermore, our method outperforms a baseline method which considers context information in ranking.  ...  The context of a search query often provides a search engine meaningful hints for answering the current query better.  ...  INTRODUCTION In Web search, given a query, a search engine returns the matched documents in a ranked list to meet the user's information need. Ranking models play a central role in search engines.  ... 
doi:10.1145/1835449.1835525 dblp:conf/sigir/XiangJPSCL10 fatcat:fyp6z3rvmfhvxkanpt6367yqtq

Web searching for daily living

Takuya Maekawa, Yutaka Yanagisawa, Yasushi Sakurai, Yasue Kishino, Koji Kamei, Takeshi Okadome
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
The new concept proposed in this paper is a query free web search that automatically retrieves a web page including information related to the daily activity that we are currently engaged in for automatically  ...  A method designed on the basis of this concept automatically searches for a web page by using a query constructed from the use of ordinary household objects that is detected by sensors attached to the  ...  The W eb search method finds a web page that is related to an ADL by using a context vector. Query making applies the following three techniques to a context vector in order. [1.  ... 
doi:10.1145/1571941.1571949 dblp:conf/sigir/MaekawaYSKKO09 fatcat:bzp7ldrn25dszfe2ghol3ixyym

ONTOLOGICAL APPROACH FOR IMPROVING SEMANTIC WEB SEARCH RESULTS

Awes Siddiqui .
2013 International Journal of Research in Engineering and Technology  
we propose personalized information system to provide more user-oriented information considering context information such as a personal profile based, location based and click based.  ...  Our system can provide associated search results from relations between the objects using context ontologies modeling created by the categorized layers data.  ...  On applying ranking the web links are re-ranked in the appropriate order of semantic relatedness. This can be accomplished with the help of Ranking Algorithm.  ... 
doi:10.15623/ijret.2013.0201006 fatcat:sbn2jhgedbdedeit67phdenx7u

Ranking Entities for Web Queries Through Text and Knowledge

Michael Schuhmacher, Laura Dietz, Simone Paolo Ponzetto
2015 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15  
In this paper, we aim at automating this process by retrieving and ranking entities that are relevant to understand free-text web-style queries like Argentine British relations, which typically demand  ...  We approach the problem from the opposite direction, namely by analyzing web documents that are found to be query-relevant.  ...  Downloads In order to encourage further research on the topic of retrieving entities for open-domain queries, we make our gold standard annotation for the Robust04 and the TREC Web (ClueWeb12) datasets  ... 
doi:10.1145/2806416.2806480 dblp:conf/cikm/SchuhmacherDP15 fatcat:b5wxcj6konggle6rxtoum2mkne

Low-Cost Supervision for Multiple-Source Attribute Extraction [chapter]

Joseph Reisinger, Marius Paşca
2009 Lecture Notes in Computer Science  
However, since many relevant attributes found in Web documents occur infrequently in query logs, Web documents remain an important source for extraction.  ...  Previous studies on extracting class attributes from unstructured text consider either Web documents or query logs as the source of textual data.  ...  Context vectors are computed separately for each class and simply contain counts of the number of times context X was extracted for attribute A in any Web document associated with class C.  ... 
doi:10.1007/978-3-642-00382-0_31 fatcat:6ktrhvwsvvdormgeu3xv4exunq

Modified Page Rank Algorithm to Solve Ambiguity of Polysemous Words

Rekha Jain, Sulochana Nathawat, Purohit G.N
2013 International Journal on Cybernetics & Informatics  
Current IR system do not use explicit WSD and rely on user typing enough content in the query to only retrieve documents relevant to the intended senses.  ...  Ambiguity in natural language has an effect on Information Retrieval (IR) system in general and web search system in particular.  ...  In this paper we are dealing with noun polysemy words. If a query contains a polysemous word then for one meaning the precision will be affected.  ... 
doi:10.5121/ijci.2013.2202 fatcat:ol2er4j24rcutp74jqo46iwmm4

Improving Entity Recommendation with Search Log and Multi-Task Learning

Jizhou Huang, Wei Zhang, Yaming Sun, Haifeng Wang, Ting Liu
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Entity recommendation, providing search users with an improved experience by assisting them in finding related entities for a given query, has become an indispensable feature of today's Web search engine  ...  ranking.  ...  The objective of context-aware ranking is to measure the relevance between a document d and a query q t with its context c. We use bidirectional LSTM to model both queries and documents.  ... 
doi:10.24963/ijcai.2018/571 dblp:conf/ijcai/HuangZSWL18 fatcat:wp6aafzj5nbvjfdkxwmusf2qhu

Concept based Ranking of Results using an Ontology and Fuzzy Network for a Personalized Web Search Engine

B. BhaskaraRao, Valli Kumari Vatsavayi
2013 International Journal of Computer Applications  
The ranking of personalized web search results is a process of finding small number of highly relevant documents from large number of search results.  ...  For a given end user query, a personalized search engine returns an enormous set of related results. The results pertinent to a user are not regularly put on the top.  ...  If a document is highly referenced by other related documents then the document is treated as highly ranked with respect to the given query of the user.  ... 
doi:10.5120/14073-2350 fatcat:puwlkloqunhjlpgng24whdhhya

Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval [chapter]

Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer
2016 Lecture Notes in Computer Science  
In this work, we introduce the answer sentence retrieval task for non-factoid Web queries, and investigate how this task can be effectively solved under a learning to rank framework.  ...  We compare learning to rank methods with multiple baseline methods including query likelihood and the state-of-the-art convolutional neural network based method, using an answer-annotated version of the  ...  Retrieving answers for these "non-factoid" queries from Web documents remains a critical challenge in Web question answering (WebQA).  ... 
doi:10.1007/978-3-319-30671-1_9 fatcat:asb4l5sdfbgclkdnmto76knmcq

An Extension to New Algorithm for Feedback Session

Pooja Agarwal, Swarupa Sonawane, Pratiksha Tanpure
2015 International Journal of Computer Applications  
This paper proposed a novel approach to infer user goals. Pseudo documents are generated through feedback sessions.  ...  Extraction of interesting information from web data has become more popular and result of that web mining attracted lot of attention in recent times.  ...  This method not only discovered the related queries but also rank them according to a similarity measure.  ... 
doi:10.5120/20423-2723 fatcat:um5bzmzp7fh3fgminoqw2ixpky

The design and implementation of SPIRIT: a spatially aware search engine for information retrieval on the Internet

Ross S. Purves, Paul Clough, Christopher B. Jones, Avi Arampatzis, Benedicte Bucher, David Finch, Gaihua Fu, Hideo Joho, Awase Khirni Syed, Subodh Vaid, Bisheng Yang
2007 International Journal of Geographical Information Science  
of geographical references, determining the geographical scope (or focus) of web documents, methods for the formulation of spatial queries and interaction with the results of geographic search.  ...  Methods allowing users to query and explore results which have been relevance ranked in terms of both thematic and spatial relevance have been implanted and a usability study indicates that users are happy  ...  be able to view query results on a map, and these results should be linked to relevant web documents. • Documents should be ranked differently with respect to the relevant spatial relation. • Document  ... 
doi:10.1080/13658810601169840 fatcat:wyc4llj5avaijazbreyb6enku4

A Novel Page Ranking Algorithm for a Personalized Web Search

Mohammed
2012 Journal of Computer Science  
Approach: We propose a Personalized Preference Network based Web Search Ranking (PPN based WSR) framework that uses Personalized Page Ranking (PPR) algorithm for re-ranking the search results.  ...  Conclusion: The proposed method can yield preferred results since it considers both the User Interest Score and Term Frequency and Inverse Document Frequency (TF-IDF) for re-ranking.  ...  A personalized web search has various levels of efficiency for different users, queries and search contexts.  ... 
doi:10.3844/jcssp.2012.1029.1035 fatcat:knruq53ryzdiregzdeq3a2xn2q

Ontology-Based Information Behaviour to Improve Web Search

Silvia Calegari, Gabriella Pasi
2010 Future Internet  
., how the user moves from one Web page to another, or her/his download of a document, etc.) are recorded in Web logs.  ...  Personalized ontologies are used to improve the quality of Web search by applying two main techniques: query reformulation and re-ranking of query evaluation results.  ...  In order to consider queries related to the same search context, the authors have proposed a session boundary recognition method by using the Kendall rank correlation measure that quantifies the correlation  ... 
doi:10.3390/fi2040533 fatcat:5y33ajz62vgi3ms3yrz22mnfie
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