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Search Query Recommendations using Hybrid User Profile with Query Logs

R. Umagandhi, A. V. Senthil Kumar
2013 International Journal of Computer Applications  
The concept based hybrid user profile is used for recommending and re-ranking the queries.  ...  The exhaustive information available in the World Wide Web indeed, unfolds the challenge of exploring the apposite, precise and relevant data in every search result.  ...  effective search result based on the real intent of the user and also re-rank the recommended queries and search result.  ... 
doi:10.5120/13895-1227 fatcat:qu6tx72sxbdwhohsxakgmg6mzm

Community-based snippet-indexes for pseudo-anonymous personalization in web search

Oisín Boydell, Barry Smyth
2006 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06  
To do this we leverage the search experiences of the community by mining the title and snippet texts of results that have been selected by community members in response to their queries.  ...  This index is then used to re-rank the results returned by the underlying search engine by boosting the ranking of key results that have been frequently selected for similar queries by community members  ...  Accordingly, our approach to collaborative Web search involves constructing a community-based index by indexing each selected result document by its snippet terms.  ... 
doi:10.1145/1148170.1148283 dblp:conf/sigir/BoydellS06 fatcat:4j2z5xgisbakvprm2ad7wieqxa

Enhancing collaborative web search with personalization

Meredith Ringel Morris, Jaime Teevan, Steve Bush
2008 Proceedings of the ACM 2008 conference on Computer supported cooperative work - CSCW '08  
Collaboration on Web search is common in many domains, such as education and knowledge work; recently, HCI researchers have begun to introduce prototype collaborative search tools to support such scenarios  ...  We analyze data from a collaborative search experiment, and based on these data we propose three techniques that can enhance the value of collaborative search tools using personalization: groupization,  ...  Clicking any query opened a web page showing the 21 previously cached search results for that query in random order. Each result consisted of the standard title + snippet + url trio.  ... 
doi:10.1145/1460563.1460640 dblp:conf/cscw/MorrisTB08 fatcat:wqsush7shfeo5m4rvltvovsd2e

ExpertRec: A Collaborative Web Search Engine [chapter]

Jingyu Sun, Junjie Chen, Xueli Yu, Ning Zhong
2011 Lecture Notes in Computer Science  
Then, a CBR (case-based reasoning)-based recommendation engine is designed to build recommendations and its core is a scalable method to identify search expertise based on a hierarchical user profile in  ...  As compared to a current web search engine, there are two challenges in ExpertRec: one is to supply a right teamwork environment to satisfy users' collaborative search; other is to identify search expertise  ...  And special thanks for Xianhua Li and PhD Jian Yang.  ... 
doi:10.1007/978-3-642-23982-3_47 fatcat:lcvmmrtqfnen5pb6vnkujfon2y

User Search Goals Evaluation with Feedback Sessions

V. Febna, Anish Abraham
2016 Procedia Technology - Elsevier  
In today's e-world, search engines play a vital role in retrieving and organizing relevant data for various purposes. Different methods are used to find user search goals.  ...  These methods exploit feedback sessions and bipartite graphs, along with machine learning techniques such as clustering, classification and Apriori algorithms.  ...  Thus, the distributions of user search goals can be useful in applications such as re-ranking web search results that contain different user search goals [5] .  ... 
doi:10.1016/j.protcy.2016.05.107 fatcat:kday5l4cdrdodftt3df5co5fse

Content and Location based Information Retrieval System

J Swathi, G Seethalakshmi
2014 International Journal of Computer Applications  
Depending upon the links clicked and the concepts returned users' information access behavior is analyzed and re-ranking is performed to obtain the relevant results.  ...  Personalized Web search is an effective means of providing precise results to different users when they submit the same query.  ...  Web-snippet denotes the title, summary and URL of a Web page returned by search engines. Extraction of concepts is similar to the problem of finding frequent item sets in data mining.  ... 
doi:10.5120/18792-0115 fatcat:wjpdcgoqkrdurklcgr2lhwdjsq

Evaluating interfaces for intelligent mobile search

Karen Church, Barry Smyth, Mark T. Keane
2006 Proceedings of the 2006 international cross-disciplinary workshop on Web accessibility (W4A) Building the mobile web: rediscovering accessibility? - W4A  
Most borrow traditional query-based search and list-based result presentation formats from Web search and as such are not well optimised for the input and display features of mobile devices.  ...  In this paper we evaluate an alternative strategy which replaces the usual result snippet with a more economic alternative that is composed of the keywords used in related queries.  ...  This material is based on works supported by the Science Foundation Ireland under Grant No. 03/IN.3/I361.  ... 
doi:10.1145/1133219.1133232 dblp:conf/w4a/ChurchSK06 fatcat:w7zkqm56fbgi7dk3z54px7eshi

Collaborative Web Search Utilizing Experts' Experiences

Jingyu Sun, Xueli Yu, Ning Zhong
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
Collaborative Web search improves search quality by users' working in cooperation and is a subset of social search. Current Web browsers and search engines provide limited support for it.  ...  Experiments showed that the novel collaborative Web search way is acceptant to users and experts' experiences improved search quality when compared to standard Google rankings.  ...  In addition, rankings from search engine results are revised by it based on the user profile and experts' experiences.  ... 
doi:10.1109/wi-iat.2010.265 dblp:conf/webi/SunYZ10 fatcat:wvwgzib4avchjfwqttlfcqc2wq

Overview of INEX 2013 [chapter]

Patrice Bellot, Antoine Doucet, Shlomo Geva, Sairam Gurajada, Jaap Kamps, Gabriella Kazai, Marijn Koolen, Arunav Mishra, Véronique Moriceau, Josiane Mothe, Michael Preminger, Eric SanJuan (+5 others)
2013 Lecture Notes in Computer Science  
INEX 2013 was an exciting year for INEX in which we consolidated the collaboration with (other activities in) CLEF and for the second time ran our workshop as part of the CLEF labs in order to facilitate  ...  structured or semantic data (Linked Data track); and focused retrieval (Snippet Retrieval and Tweet Contextualization tracks).  ...  Both snippet-based and document-based assessment are being used.  ... 
doi:10.1007/978-3-642-40802-1_27 fatcat:poxx52dr3vgfpcndlticjsl3da

An iterative implicit feedback approach to personalized search

Yuanhua Lv, Le Sun, Junlin Zhang, Jian-Yun Nie, Wan Chen, Wei Zhang
2006 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06  
Moreover, our approach can implement result re-ranking and query expansion simultaneously and collaboratively.  ...  Based on this approach, we develop a client-side personalized web search agent PAIR (Personalized Assistant for Information Retrieval), which supports both English and Chinese.  ...  Acknowledgement We would like to thank the anonymous reviewers for their helpful feedback and corrections, and to the nine participants of our evaluation experiments.  ... 
doi:10.3115/1220175.1220249 dblp:conf/acl/LvSZNCZ06 fatcat:tr3iut4xzvcylfl533jmstgyvu

Mimicking Web search engines for expert search

Rodrygo L.T. Santos, Craig Macdonald, Iadh Ounis
2011 Information Processing & Management  
Experimental results show that our approach is effective for expert search, and can significantly improve an intranet-based expert search engine.  ...  Finally, we show that WSEs can be mimicked as effectively using only titles and snippets instead of the full content of WSEs' results, while drastically reducing network costs.  ...  for both titles + snippets and full results.  ... 
doi:10.1016/j.ipm.2010.11.009 fatcat:6a5bjha2kzch7anwwlgtd56qym

Merging algorithms for enterprise search

PengFei (Vincent) Li, Paul Thomas, David Hawking
2013 Proceedings of the 18th Australasian Document Computing Symposium on - ADCS '13  
Effective enterprise search must draw on a number of sourcesfor example web pages, telephone directories, and databases.  ...  We report the results of an experiment which simulates heterogeneous enterprise retrieval, in a university setting, and uses multigrade expert judgements to compare merging algorithms.  ...  result. • "GDS TSS" uses first the title, then the snippet, then the rank.  ... 
doi:10.1145/2537734.2537750 dblp:conf/adcs/LiTH13 fatcat:wlljqkp66re5jmkqabxh7hk27a

Report on INEX 2013

P. Bellot, J. Mothe, M. Preminger, E. SanJuan, R. Schenkel, X. Tannier, M. Theobald, M. Trappett, A. Trotman, M. Sanderson, F. Scholer, A. Doucet (+8 others)
2013 SIGIR Forum  
Both snippet-based and document-based assessment are used.  ...  Snippet Retrieval Track investigate how to generate informative snippets for search results.  ... 
doi:10.1145/2568388.2568393 fatcat:2igtwoe23fedloome5yrzms6fm

Personalized Web Search Using Emotional Features [chapter]

Jianwei Zhang, Katsutoshi Minami, Yukiko Kawai, Yuhki Shiraishi, Tadahiko Kumamoto
2013 Lecture Notes in Computer Science  
Experimental evaluations show the re-ranking and the re-retrieval achieve encouraging search results in comparison with initial search results.  ...  Re-ranking and re-retrieval of search results are useful techniques for satisfying users' search intentions, since current search engines cannot always return user-desired pages at the top ranks.  ...  Initial search results are returned by using Yahoo! Web Search API [28] . Specially, titles and snippets of pages are obtained for emotion analysis. 2.  ... 
doi:10.1007/978-3-642-40511-2_6 fatcat:awhnv2p7jffmtluf42cy3mywpe

Explaining Documents' Relevance to Search Queries [article]

Razieh Rahimi, Youngwoo Kim, Hamed Zamani, James Allan
2021 arXiv   pre-print
Adding GenEx explanations to search results greatly impacts user satisfaction and search performance. Search engines mostly provide document titles, URLs, and snippets for each result.  ...  We present GenEx, a generative model to explain search results to users beyond just showing matches between query and document words.  ...  ACKNOWLEDGMENTS This work was supported in part by the Center for Intelligent Information Retrieval, in part by Amazon.com, in part by NSF grant number 1813662 and in part by NSF grant #IIS-2039449.  ... 
arXiv:2111.01314v1 fatcat:hghfsvnrwrgn5lu7u2x4f2lexm
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