narratives.jsonl

{"qid": "1", "narrative": "relevant studies include research that examines the precision and reliability of symptom searching conducted by patients online e g via google papers discussing the risks of symptom searching behavior particularly focusing on the reliability of information and advise then given to the patient on the internet are preferred"}
{"qid": "2", "narrative": "relevant documents delve into the analysis and application of zipf s law to the distribution of words in text documents and the implications for information search this includes examining how zipf s law can be leveraged to optimize search algorithms enhance the efficiency of indexing and predict search patterns particular attention is paid to studies that illuminate the significance of zipf s law for reducing storage space through the identification and prioritization of frequently used terms over those that are seldom used and how these insights can be harnessed to increase the speed and accuracy of search queries additionally documents that assess the limits and challenges of zipf s law in contemporary information retrieval systems are of interest"}
{"qid": "3", "narrative": "the vector space model is an algebraic model that represents documents as vectors to showcase their relevance to each other"}
{"qid": "4", "narrative": "relevant documents should discuss different techniques and possibilites of automatic indexing and also present their advantages and problems"}
{"qid": "5", "narrative": "to better find a term one is looking for it is helpful to use wildcard operators properly to use them for a word one can use and the is not used commonly however and such it is easiest to stick to use wildcard operators with the and the when using wildcard operators for a word one can use fixed and variable wildcard operators fixed wildcard operators is when one letter of a term is exchangedwith a for example auto becomes to autos but not autositz with variable wildcard operators such as auto it may become autos as well as autositz as can stand for multiple letters while is only a placeholder for one letter additionally one can differate between right left and middle or internal wildcard operators right wildcard operators means that the term is using them at its end left wildcard operators describes the term using wildcard operators at its start and internal truncation means that the word is using wildcard operators in the middle with the letters at its ends staying untouched if one is looking for the name of an author for example one could use wildcard operators as such me er all in all wildcard operators are a researching tool that expands the pool of relevant results as well as the number of search results in total this may also lead to a higher number of non relevant results coming up as search results"}
{"qid": "6", "narrative": "important documents thoroughly describe how the boolean search principle works they explain the theory behind it how to implement it in practice and show examples where it s useful documents that highlight the pros and cons of this method compared to other search strategies are particularly interesting also texts exploring how information retrieval systems have been advanced through the use of boolean operators are significant documents focusing only on newer and more complex search methods without any reference to boolean searching are not relevant"}
{"qid": "7", "narrative": "relevant documents present the two methods stemming and lemmatization and explain the respective benefits for search systems the difficulties of each method are discussed in more detail here both in the conflation process and in subsequent retrieval what advantages do the methods offer in each case"}
{"qid": "8", "narrative": "relevant documents should contain information on how machine learning and artificial intelligence can improve information retrieval systems and the relevance and accuracy of search results including machine learning algorithms and data patterns documents dealing with machine learning or artificial intelligence in other areas are not relevant"}
{"qid": "9", "narrative": "relevant documents analyze both the topic of the database request and the topic of the request in the information retrieval and show the differences between the two systems relevant documents explain that database queries are most often used in databases and require a specific query syntax requests in information retrieval use a natural language query syntax for searching in a search engine or any other web catalog"}
{"qid": "10", "narrative": "relevant documents should discuss how machine learning techniques are used to enhance information retrieval covering aspects such as ranking algorithms relevance feedback personalization and recommendation systems"}
{"qid": "11", "narrative": "relevant documents should discuss the various advantages and disadvantages of different factors used to evaluate the relevance of search results"}
{"qid": "12", "narrative": "relevant documents should address which user data should be collected to personalize the search outcome how are these datas weighted and what advantages and risks arise when gathering information and forming opinions if users receive significantly different results as a result"}
{"qid": "13", "narrative": "relevant documents should contain positive and or negative aspects of the use of boolean queries as well as how they are used why they are used why not and what alternatives there are"}
{"qid": "14", "narrative": "relevant documents describing soundex or phonetic correction an alternative indexing procedure which is based on pronounciation"}
{"qid": "15", "narrative": "relevant documents examine the benefits of boolean retrieval in practice"}
{"qid": "16", "narrative": "relevant documents explain how boolean retrieval works how it can be integrated in library catalogues and how often the users use this search method"}
{"qid": "17", "narrative": "relevant documents should discuss how and when it s best to use the boolean operators and how well they perform how much they affect the user s search results and if they work everytime on any search engine"}
{"qid": "18", "narrative": "relevant documents contain the calculation as well as the variants and bounds of the levenshtein distance"}
{"qid": "19", "narrative": "relevant documents show how to utilize boolean retrieval to get the best search results relevant documents might also list different boolean systems or models and compare them"}
{"qid": "20", "narrative": "search algorithms are an indispensable part of software development especially in the field of web development they enable large amounts of data to be searched efficiently and relevant information to be provided quickly which is essential for creating a positive user experience"}
{"qid": "21", "narrative": "the boolean operators are the words and or and not they work as follows and means that both words have to exist together for the document to be found just one of the words will not suffice for the operator and to work it will however work or the operator or if the operator or is used the docguments needs at least one of the words coupled togetehr by the operator to be found therefore the results for the search church or devil will show documents that have the words church and devil in them as well as documents with just the word church or just the word devil the not operator minimalises the search results by excludng a term church not devil will only show search results with the word church in them and not show any that include the term devil no matter wether the word church is also found within the document or not if the term devil is in the document it is filtered out the boolean operators therefor work as filters making sure terms are in and excluded as preferred"}
{"qid": "22", "narrative": "look for papers discussing ways to make search engine indexing faster more accurate and more efficient this includes new techniques tweaks to existing methods and real world applications papers not specifically about indexing or those focusing on general search technology are considered irrelevant"}
{"qid": "23", "narrative": "relevant dokuments should discuss the use of boolean retrieval in information retrieval and its use for simple querys"}
{"qid": "24", "narrative": "the implementation of these digital technologies in libraries aims to improve access to information increase the efficiency of services and optimize the user experience"}
{"qid": "25", "narrative": "relevant papers include research on the effects that the query length has on the presicion of the search result papers that focus on query length in a different context are not relevant as well as papers that do not focus on query length or presicion"}
{"qid": "26", "narrative": "relevant documents analyze the application of zipf s law to word frequencies in texts and the significance of this law for the development of indexing methods and information retrieval systems they should also cover the theoretical foundations of zipf s law as well as empirical studies and applications in information science"}
{"qid": "27", "narrative": "relevant documents should discuss how boolean retrieval techniques are used for information retrieval explaining the use of and or not"}
{"qid": "28", "narrative": "analyse relevant documents and emphasise how different library catalogues use boolean operators"}
{"qid": "29", "narrative": "relevant documents should show what the ethical and societal views on libraries are that libraries are in a state of flux and that their transformation will bring changes and risks that third places and the idea of a cultural and exchange centre have become more relevant pushing the old image of a library into the background and the past which changes would be so dramatic that an innovation would go too far and split the original concept of a library whereby these facilities can no longer be called a library with a clear conscience but instead become a fusion hybrid of various offers"}
{"qid": "30", "narrative": "relevant documents analyze the advantages of boolean operators in library systems and thus show why they are used in this context"}
{"qid": "31", "narrative": "relevant paper include research on chinese information retrival or which methods are being used for the chinese information retrival papers that focus on japanese infromation retrival are also relevan papers that focus on other languages are not relevant or papers that focus on general information retrival are not relevant"}
{"qid": "32", "narrative": "relevant documents show various criteria and options for evaluating the ranking of results in various search engines according to relevance and quality"}
{"qid": "33", "narrative": "relevant documents describe those professional fields and industries which primarily focus on information retrieval and those in which information retrieval is needed as an action step in their workflow"}
{"qid": "34", "narrative": "relevant documents about the use of the boolean retrieval method and the meaning of and not and or whats the difference between a normal or and a boolean or"}
{"qid": "35", "narrative": "relevant documents should provide information on how ai can be used to automatically index documents and make them easier to find this includes studies on accuracy and efficiency of ai indexing systems case studies of their use in organisations and descriptions of the machine learning models used documents with examples of algorithms and tools like nlp and deep learning are important unlike documents that focus solely on manual indexing methods"}
{"qid": "36", "narrative": "documents which handel the topic of pooling and it s current usage options especially comparative studies regarding time and work efficiency with and without pooling"}
{"qid": "37", "narrative": "boolean algebra is a branch of algebra used with logic the values of variables aren t numeric they consist in true denoted as 1 or false denoted as 0 in information retrieval they are used as found and not found if the term you search is in written in the document it is found so you put a 1 another topic in boolean algebra are the boolean operators and not and or they are used to manipulate the truth values and is the operator of conjuction denoted as it is used to combine two or more expressions or terms yielding true only if all the expressions are found and true the operator not is the negation and denoted as it negates the value of truth of an expression or more of them the last operator is or the disjunction it s denoted as v it combines 2 or more exprssions yielding true if one or more expressions are true at least one must be found"}
{"qid": "38", "narrative": "relevant documents analyze which criteria are underlying so that searchers can consider the results relevant to their search queries"}
{"qid": "39", "narrative": "relevant documents analyze the mathematical representation of text analysis after zipf s law"}
{"qid": "40", "narrative": "relevant documents analyze the boolean operators and their operation in search queries"}
{"qid": "41", "narrative": "relevant documents should discuss different indexing techniques such as inverted indexing signature files and clustering based indexing they should cover how these techniques work their advantages and disadvantages and their impact on the efficiency and effectiveness of information retrieval systems discussions may include algorithmic details performance comparisons and practical implementations in real world systems"}
{"qid": "42", "narrative": "it investigates the application of machine learning in information retrieval including its impact on improving algorithms personalized search results and managing large datasets it provides concrete examples and case studies to demonstrate the efficiencies gained through machine learning it also discusses challenges in implementation such as high computational costs and the requirement for high quality training data it also offers insights into emerging trends and developments of future machine learning and information retrieval"}
{"qid": "43", "narrative": "relevant documents analyze and characterize the problems and limitations of retrieval systems"}
{"qid": "44", "narrative": "relevant documents describe the structure and procedure of online quizzes and also provide examples of the topic the examples can also be placed within an overall context in order to create a more accurate picture for online quizzes"}
{"qid": "45", "narrative": "the types of indexing in information retrieval and where it can be applied best practices for efficiency and accuracy of indexing in information retrieval"}
{"qid": "46", "narrative": "relevant documents discuss various information retrieval techniques such as indexing ranking algorithms and query expansion and their effectiveness in improving retrieval"}
{"qid": "47", "narrative": "analyze relevant documents that compare the current state of the l l m with the star trek universe s ideas about the computer or information about the computer from other sources and evaluate how similar the l l m is to the computer"}
{"qid": "48", "narrative": "relevant documents examine the methods and behaviors of recruiters in identifying and assessing candidates for job positions this includes the use of online job portals search strategies query formulation use of filters and differences in search behavior across various recruitment tasks documents should also contextualize these behaviors with findings from contextual inquiries to provide a comprehensive understanding"}
{"qid": "49", "narrative": "relevant documents contain definitions of evaluation in the context of information retrieval understandable for beginners"}
{"qid": "50", "narrative": "relevant documents should focus on how machine learning techniques are applied to various aspects of information retrieval systems to enhance their performance and accuracy this includes the use of machine learning for query understanding document indexing relevance ranking and retrieval effectiveness documents should also explore how machine learning models can learn from user interactions to improve search results over time personalize search experiences and handle large scale data case studies practical implementations and evaluations of machine learning integration in commercial and academic ir systems are also relevant"}
{"qid": "51", "narrative": "relevant documents analyze the use of artificial intelligence to improve disease diagnosis they should cover the various algorithms and techniques used in medical imaging and data analysis as well as the outcomes and benefits achieved through these technologies"}
{"qid": "52", "narrative": "in libraries especially scientific and digital libraries automated indexing via ai can be used to index documents more efficiently and to better analyse user queries nlp can also be used to enrich the results displayed in the libraries opacs with relevant text extracts this can also improve the user experience nevertheless this technology is not yet used as extensively as it could be"}
{"qid": "53", "narrative": "relevant documents explain zipf s law and how it is applied in information retrieval including examples and case studies"}
{"qid": "54", "narrative": "relevant documents should discuss technqiues and methods used to analysze user behavior in information retrieval including click through rates dwell time session tracking and their effects on improving retrival performances and user satisfaction"}
{"qid": "55", "narrative": "the documents should cover the basics of boolean queries including operators and or not which is important so one is able to write search queries"}
{"qid": "56", "narrative": "analyze all documents that discuss fishing practices popular fishing spots fishing regulations and the types of fish found in germany relevant documents should cover any aspect of fishing within germany including but not limited to recreational fishing commercial fishing environmental impacts and conservation efforts related to fishing articles reports and guides about fishing events or competitions in germany would also be of interest"}
{"qid": "57", "narrative": "relevant documents analyze the historical progress significant milestones and key developments in the technology and methodologies of information retrieval highlighting the transition from early systems to modern approaches"}
{"qid": "58", "narrative": "in the field of information retrieval zipf s law has significant implications it enhances indexing efficiency meaning that ir systems can efficiently index and process common words saving storage space and increasing search speed however the law also aids in document relevance assessment by considering rare words as more informative than common ones this is utilized in algorithms like tf idf to evaluate a word s frequency relative to the entire corpus additionally the law supports data compression where frequent words can be compressed with shorter codes reducing the overall size of indexed data zipf s law can also work with stop word lists meaning that stop words like and or the are ignored during indexing as they provide little informative value for search thus enhancing search relevance and efficiency overall the law optimizes search queries and contributes to more precise search results"}
{"qid": "59", "narrative": "documents should demonstrate and analyze the effectiveness of automatic indexing in enhancing search results for users"}
{"qid": "60", "narrative": "look for documents that talk about the major steps and changes in information retrieval this includes stories about moving from paper to computers how search engines came to be and how new technology has made searching better over time"}
{"qid": "61", "narrative": "relevant documents will illustrate the inversely proportional correlation between the rank of a term in a list sorted by term frequency and the probability of its occurence in said list"}
{"qid": "62", "narrative": "analyze relevant documents that explain the difference of the terms recall and precision how they are calculated and refere to another in the information retrieval topic"}
{"qid": "63", "narrative": "relevant documents should discuss the methods of collecting and utilizing user feedback both implicit and explicit to refine search algorithms this includes examining techniques like click through data dwell time ratings and comments the focus should be on evaluating the effectiveness of these feedback mechanisms in improving search precision recall and overall user satisfaction additionally challenge such as data sparsity noise and privacy concerns should be adressed"}
{"qid": "64", "narrative": "the relevant documents should explore how natural language processing nlp techniques impact and enhance information retrieval systems this involves examining advancements in search algorithms the role of nlp in understanding and processing queries improvements in document indexing and the overall effectiveness and efficiency of retrieving pertinent information additionally studies or reports focusing on practical applications case studies and the integration of nlp in commercial search engines are important"}
{"qid": "65", "narrative": "relevant documents should discuss approaches for indexing searching and retrieving multimedia content including content based retrieval and cross modal retrieval"}
{"qid": "66", "narrative": "relevant documents should analyze and compare phonetic indexing methods like soundex or metaphone with traditional indexing techniques in terms of their effectiveness and efficiency the comparison should include aspects such as accuracy speed computational resources and application contexts documents that provide empirical studies experimental results or case studies are particularly relevant less relevant documents might only describe one method without comparison or lack in depth analysis of the indexing performance metrics highly relevant documents should provide a thorough examination of the strengths and weaknesses of each method and suggest scenarios where one might be preferred over the other"}
{"qid": "67", "narrative": "how do the challenges of dealing with informal and noisy data affect the effectiveness of information retrieval systems on social media platforms"}
{"qid": "68", "narrative": "this investigation aims to compare and contrast syntactic and semantic search methodologies syntactic search focuses on keyword matching and the structure of the query while semantic search aims to understand the meaning and context behind the query the goal is to evaluate which approach provides more accurate and relevant search results in different scenarios highlighting the strengths and weaknesses of each method"}
{"qid": "69", "narrative": "relevant documents should describe what boolean search is how boolean operators and or not are used to refine search queries and provide simple examples of boolean search queries"}
{"qid": "70", "narrative": "relevant documents should explain how semantic search technologies are developed and implemented to improve the relevance and accuracy of search results this includes techniques such as natural language processing nlp the use of ontological structures and knowledge graphs as well as the importance of context and meaning in search documents that discuss practical applications case studies and the advantages of semantic search compared to traditional search methods are particularly relevant"}
{"qid": "71", "narrative": "relevant documents analyze the mathematical principles behind lsi discuss its application in various retrieval systems and evaluate the improvement of search results through semantic analysis"}
{"qid": "72", "narrative": "relevant documents should discuss various relevance ranking algorithms including tf idf bm25 and learning to rank methods the impact of ranking algorithms on search quality and user experience should be analyzed"}
{"qid": "73", "narrative": "relevant documents describe how music and music structures can be retrieved using the vector space model retrieval models that look into layered music information or differentiate between hard indexing and soft indexing are especially relevant"}
{"qid": "74", "narrative": "relevant documents should discuss recent developments in information retrieval techniques such as neural networks deep learning and machine learning algorithms and their impact on the accuracy and relevance of search results"}