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The significance and function of literature retrieval
When doing anything, you must pay attention to methods. Only by correct methods can you get twice the result with half the effort. The French mathematician and philosopher Descartes said in his book "Method" that valuable knowledge is knowledge about methods. Document information retrieval theory is actually the knowledge about methods of obtaining document information. In a sense, whoever masters the method of document retrieval has the key to the treasure house of knowledge.
After mastering the methods and skills of document information retrieval, you can make full use of the document information resources in libraries or other information sources, swim in the ocean of knowledge, accumulate knowledge and innovate, and serve the society. For college students, if they want to successfully complete their studies and broaden their knowledge, classroom learning alone is not enough. The library is the second classroom and an important place for updating knowledge and absorbing knowledge. Literature information retrieval is to give you a key to the palace of knowledge and guide you to the other side of wisdom.
Helps save researchers’ working time. Literature retrieval is the preliminary work of scientific research. When researchers conduct scientific research, they often spend a lot of time and energy searching for scientific and technological literature. According to U.S. statistics, when a scientific researcher is engaged in scientific research activities, he or she spends more time on thinking, more time on experiments and research, and more time on writing reports. However, the time spent on reviewing literature actually accounts for more than half of his or her scientific research time. According to intelligence and information experts from the former Soviet Union, intelligence and information science experts spend less time on information retrieval than researchers in other disciplines. Therefore, if you master certain literature retrieval methods and methods, you will undoubtedly take the initiative in scientific research activities, save a lot of effective work time and energy, shorten the scientific research cycle, and improve work efficiency.
It is conducive to expanding knowledge and promoting the development of intellectual resources and knowledge innovation. Under the conditions of market economy, competition in all fields of society is very fierce. Survival of the fittest and survival of the fittest are natural laws. Even if a college student successfully completes his studies, his knowledge is limited. Only by constantly enriching new knowledge and broadening his knowledge can he gain a firm foothold and develop in the future competition. Once you master the methods and skills of document information retrieval, you can learn by yourself without a teacher, increase your intelligence, and benefit from it throughout your life.
Mastering the methods and skills of document information retrieval can eliminate the barriers of natural language and professional language to a certain extent. Search tools such as abstracts and yearbooks can select information in many languages. Through reading, people can gain a broad understanding of the research status and development trends in relevant fields at home and abroad, thereby obtaining new interdisciplinary literature information and scientific research. Results.
Research and implementation of matrix transposition algorithm based on
Topic-based conference abstract technology integrated with R
Practical moving target detection algorithm based on adaptive Gaussian model
Geometry based on b Design and implementation of matching method
Collaborative learning group construction method based on density clustering
Application of improved flower pollination algorithm optimization in traffic flow
Based on social tag system recommendation technology< br/> Multi-source color information fusion algorithm for image area of interest
Advertising delivery technology based on multi-path targets in Weibo
Two-stage closed class mining algorithm under high expectation weighted item sets
Multimedia Technology based on adaptive sight distance projection and dictionary-like three-dimensional model retrieval
Algorithm based on improved feature descriptor of rotating image
Multi-resolution based fast registration algorithm of train axle image
Based on dynamic path Optimized human posture recognition
Side information generation algorithm based on hybrid motion model
Improved bR face recognition algorithm
Network community discovery algorithm based on node benefit Nash equilibrium
New non-local Image reconstruction algorithm modified by average filter
Observation matrix construction based on pseudo-random sequence balanced sequence
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