-
Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012)
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- Abstract
- The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user's search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.
- Date
- 20. 4.2012 13:19:22
-
Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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- Content
- Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
-
Duval, B.K.; Main, L.: Searching on the Net : general overview (1996)
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- Date
- 6. 3.1997 16:22:15
-
Dempsey, L.: ¬The subject gateway : experiences and issues based on the emergence of the Resource Discovery Network (2000)
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- Date
- 22. 6.2002 19:36:13
-
Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014)
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- Date
- 13. 9.2014 14:45:22
-
Sleem-Amer, M.; Bigorgne, I.; Brizard, S.; Santos, L.D.P.D.; Bouhairi, Y. El; Goujon, B.; Lorin, S.; Martineau, C.; Rigouste, L.; Varga, L.: Intelligent semantic search engines for opinion and sentiment mining (2012)
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- Abstract
- Over the last years, research and industry players have become increasingly interested in analyzing opinions and sentiments expressed on the social media web for product marketing and business intelligence. In order to adapt to this need search engines not only have to be able to retrieve lists of documents but to directly access, analyze, and interpret topics and opinions. This article covers an intermediate phase of the ongoing industrial research project 'DoXa' aiming at developing a semantic opinion and sentiment mining search engine for the French language. The DoXa search engine enables topic related opinion and sentiment extraction beyond positive and negative polarity using rich linguistic resources. Centering the work on two distinct business use cases, the authors analyze both unstructured Web 2.0 contents (e.g., blogs and forums) and structured questionnaire data sets. The focus is on discovering hidden patterns in the data. To this end, the authors present work in progress on opinion topic relation extraction and visual analytics, linguistic resource construction as well as the combination of OLAP technology with semantic search.
-
Duval, B.K.; Main, L.: Searching the Internet : part 2 trail-blazers (1997)
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- Date
- 6. 3.1997 16:22:15
-
Chen, L.-C.: Next generation search engine for the result clustering technology (2012)
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- Date
- 17. 4.2012 15:22:11
-
Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019)
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- Abstract
- Purpose The purpose of this paper is to describe a new method to improve the analysis of search engine results by considering the provider level as well as the domain level. This approach is tested by conducting a study using queries on the topic of insurance comparisons. Design/methodology/approach The authors conducted an empirical study that analyses the results of search queries aimed at comparing insurance companies. The authors used a self-developed software system that automatically queries commercial search engines and automatically extracts the content of the returned result pages for further data analysis. The data analysis was carried out using the KNIME Analytics Platform. Findings Google's top search results are served by only a few providers that frequently appear in these results. The authors show that some providers operate several domains on the same topic and that these domains appear for the same queries in the result lists. Research limitations/implications The authors demonstrate the feasibility of this approach and draw conclusions for further investigations from the empirical study. However, the study is a limited use case based on a limited number of search queries. Originality/value The proposed method allows large-scale analysis of the composition of the top results from commercial search engines. It allows using valid empirical data to determine what users actually see on the search engine result pages.
- Date
- 20. 1.2015 18:30:22
-
Turner, T.P.; Brackbill, L.: Rising to the top : evaluating the use of HTML META tag to improve retrieval of World Wide Web documents through Internet search engines (1998)
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- Abstract
- Reports results of a study to evaluate the effectiveness of using the HTML META tag to improve retrieval of World Wide Web documents through Internet search engines. 20 documents were created in 5 subject areas: agricultural trade; farm business statistics; poultry statistics; vegetable statistics; and cotton statistics. 4 pages were created in each subject area: one with no META tags, one with a META tag using the keywords attribute, one with a META tag using the description attribute, and one with META tags using both the keywords and description attributes. Searches were performed in Alta Vista and Infoseek to find terms common to all pages as well as for each keyword term contained in the META tag. Analysis of the searches suggests that use of the keywords attribute in a META tag substantially improves accessibility while use of the description attribute alone does not. Concludes that HTML document authors should consider using keywords attribute META tags and suggests that more search engines index the META tag to improve resource discovery
-
Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012)
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- Abstract
- This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of "information practice" and other related concepts such as "use", "activity", and "behavior" largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.
- Date
- 20. 4.2012 13:22:37
-
Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
-
Barlow, L.: ¬The spider's apprentice : how to use Web search engines (1997)
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-
Page, L.; Brin, S.; Motwani, R.; Winograd, T.: ¬The PageRank citation ranking : Bringing order to the Web (1999)
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-
Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996)
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- 7. 2.1996 22:38:41
- Pages
- 22 S
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Höfer, W.: Detektive im Web (1999)
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- Date
- 22. 8.1999 20:22:06
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Rensman, J.: Blick ins Getriebe (1999)
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- Date
- 22. 8.1999 21:22:59
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Stock, M.; Stock, W.G.: Recherchieren im Internet (2004)
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- Date
- 27.11.2005 18:04:22
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Wu, L.-L.; Chuang, Y.-L.; Chen, P.-Y.: Motivation for using search engines : a two-factor model (2008)
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- Footnote
- Vgl.: Wu, L.-L., A. Chuang u. P.-Y. Chen: Correction to Wu, L., Chuang, A., & Chen, P. (2008). Motivation for using search engines: A two factor model. Journal of American Society for Information Science and Technology, 59(11), 1829-1840. In: Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.214-216.
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Hillmann, L.: Clever suchen, schneller finden (1998)
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