Query generation and search behaviour of German users. [0082] (original) (raw)
Related papers
2008
This document was written by a student from the Munich University of Applied Sciences (MUAS)-the topic was given as a student project. It has not been peer reviewed, but has been edited for basic grammar and accuracy. References have not been standardized. Kindly consider this document as a working paper, to be used for basic referencing but not as seminal reference for research work. It could be useful for research in the field of Website Visibility, Information Retrieval and Search Engines.
A Web Search Analysis Considering the Intention behind Queries
2008
The identification of the intention of the users behind the queries can be useful to improve the precision of the list of documents recommended by the Web search engines. That is why, recent works have focused themselves in the construction of query classifiers following the categories proposed in the scientific literature. These works have based on query representations using two sources of main information: text and click-through data. Despite of the before mentioned we have little understanding about the nature and behaviour of the variables used to characterize queries. In this work we analyse the behaviour of the variables looking for a way to improve their comprehension and to identify the characteristics that exactly allow that the query classifiers improve their precision. The analysis shows that the variables based on text have a better performance in the discrimination of the categories than the ones based on click-through data. Among these variables, the query length (number of terms that compound a query), the Levenshtein distance between snippets and queries, and the PageRank metric are recommendable features to work with query type classifiers.
Ksii Transactions on Internet and Information Systems, 2020
The purpose of this survey-based study is to make an analysis of search engine users’ behaviors on the Search Engine Results Pages (SERPs) based on the three demographic characteristics gender, age, and program studying. In this study, a questionnaire was designed with 12 closed-ended questions. Remaining questions other than the demographic characteristic related ones were about “tab”, “advertisement”, “spelling suggestion”, “related query suggestion”, “instant search suggestion”, “video result”, “image result”, “pagination” and the amount of clicking results. The questionnaire was used and the data collected were analyzed with the descriptive statistics as well as the inferential statistics. 84.2% of the study population was reached. Some of the major results are as follows: Most of each demographic characteristic category (i.e. female, male, under-20, 20-24, above-24, English computer engineering, Turkish computer engineering, software engineering) have rarely or more click for t...
Web surfing for various purposes has become a habit of humans. Searching for information from the Internet today has been made easier by the widely available search engines. However, there are many search engines and their number is increasing. It is of considerable importance for the designer to develop quality search engines and for the users to select the most appropriate ones for their use. The Information quality linked through these searches is quite irregular. There are fair chances that the retrieved results are irreverent and belong to an unreliable source. In fact, most search engines are developed mainly for better technical performance and there could be a lack of quality attributes from the customers' perspective. In this paper, we first provide a brief review of the most commonly used search engines, with the focus on existing comparative studies of the search engines. The paper also includes a survey conducted of 137 respondents where the identified user expectations will be of great help not only to the designers for improving the search engines, but also to the users for selecting suitable ones. The objective behind this study was also to find the reason behind poor precision and recall of so many available search engines. The study finally aims to enhance user search experience.
A search log analysis of a Portuguese web search engine
2010
Abstract. We present a characterization of the information-seeking behavior of the users of a Portuguese web search engine, based on the analysis of its logs. We obtained detailed statistics about the users' sessions, queries, terms and searched topics over a period of two years. The results show that the users prefer fast and short sessions, composed of short queries and few clicks. The trend is towards a reduction of the number of interactions with the web search engine.
Information search behaviour in the German Education Index
World Digit. Libr., 2011
This paper presents results from an analysis of user interactions in the German Education Index (GEI) specialized search engine. The main interest of this study is to gain insight into the GEI users’ typical search behaviour to identify optimization potential for the further development of the GEI search engine. Based on a sample of query logfiles, our study reveals that the users apply advanced search functionalities and query reformulation tactics adequately, though not frequently, and that more support in their application might increase the effectiveness of searches in the GEI.