Information retrieval topics, some concepts of information retrieval are urgent

1. Search items: subject, author's institution.

Search Query: SU=Information Literacy and AF=(Tsinghua University or Sichuan University)Search Criteria: (Subject=Chinese-English Extended (Information Literacy)) and (Institution=Chinese-English Extended (Tsinghua University) or Institution=Chinese-English Extended (Sichuan University) or Affiliation=Chinese-English Extended (Tsinghua University) or Degree-Granting Institution=Chinese-English Extended (Tsinghua University) or Degree-Granting Institution=Chinese-English Extended (Sichuan University) or Author's Institution=Chinese-English extension (Tsinghua University) or Author's institution = Chinese-English extension (Sichuan University))) exact match).

Search method: cross-database search; Retrieved: 14 records.

Search Formula: t=Enterprise Asset Restructuring * (Finance + Accounting) Search Criteria: Title = Enterprise Asset Restructuring * (Finance + Accounting) * All Journals * Year = 1989-2010

3. Use advanced search or enter search terms: title: distance education degree: Ph.D.

External characteristics: author, document type, date, title of the document, author affiliation.

1. Use CNKI to search:1. Enter the CNKI database through the university campus network.

2。Then go to my institution's digital library or general library for search services. Select the main database here for searching.

3。On the first page of the search, select "China Academic Journals Network Publishing Database" to search. 4。

6。Click the "Search Documents" button and the system starts the automatic search service. 7。

11。Then copy a piece of text onto a word document. This step is clear to most people, so I won't go into detail here.

2. Use Wanfang Search:1. Access to Wanfang database through the university campus network.

2。Select "Advanced Search" to go to the advanced search page. 3。

Then open the file with a PDF reader and copy a piece of text onto the Word document. This step is clear to most people, so I won't go into detail here.

I saw that this guy upstairs answered a little too much, and I'll give you a more concise answer.

1. Literature information retrieval, also known as information retrieval, is divided into broad and narrow senses, and information retrieval in the broad sense is the process of organizing and storing information in the database in a certain way, and using retrieval tools to find the required information from the database in a certain way according to the needs of the vertical rock household.

Information retrieval in the narrow sense refers to the part of information searching.

2. Access point: The data unit used to arrange and access the literature information or records.

3. The computer retrieval system is composed of hardware, software, database system, communication network and people.

4. There are 22 categories of Chinese map method.

They are a Marxism, Leninism, *Thought, *Theory, b Philosophy, Religion, C General Social Sciences, d Politics, Law, e Military, f Economy, g Culture, Science, Education, Physical Education, H Language, Writing, i Literature, j Art, k History, Geography, n General Natural Sciences, o Mathematical Sciences and Chemistry, p Astronomy, Earth Sciences, Q Biological Sciences, r Medicine, Health, s Agricultural Sciences, T Industrial Technology, u Transportation, v Aviation, Aerospace, x Environmental Science, Safety Science, z Comprehensive Books.

Among them, sports can be found in G and K (sports figure biography Yu Yu) and Z (yearbook).

5. The criteria for evaluating the search effect of the clear price mainly include the recall rate and the accuracy rate.

The recall rate refers to the percentage of the number of relevant documents detected and the total number of relevant documents in the retrieval system, which is a measure of the ability of the information retrieval system to detect relevant documents.

The accuracy rate refers to the percentage of the number of relevant documents detected and the total number of documents detected, which is a measure of the accuracy of the information retrieval system.

The recall rate and the accuracy rate are mutually reciprocal.

7. The national academic libraries mainly include the National Library, the National Science and Technology Documentation Center, CALIS, and the Library of the Chinese Academy of Sciences.

Information retrieval refers to finding information related to user needs through certain ways and means in a large number of information resources to meet the needs of users. There are several types of information retrieval.

Keyword retrieval is the most basic information retrieval method, which is implemented by the user entering keywords, and then the system finds information related to user needs by matching keywords and text content. Keyword implicit message search can achieve fast retrieval, but due to the inaccuracy and ambiguity of keywords, there may be inaccurate search results.

Natural language search.

Natural language retrieval refers to the user's use of natural language to search, and the system converts the user's needs into a language that the computer can understand through natural language understanding technology, and then finds information related to the user's needs by matching the search results. Natural language retrieval can more accurately meet the needs of users, but its implementation requires a stove wheel to solve the difficulties of natural language processing technology, so there is still a lot of room for development in the practical application of natural language retrieval.

Semantic retrieval. Semantic retrieval means that the system considers not only the matching degree of keywords, but also the semantic information of the text when conducting searches. Through semantic analysis, semantic matching and other technologies, the system can more accurately find information related to user needs.

Recommended search.

Recommendation retrieval refers to the system that recommends relevant information to users by analyzing the user's historical search history, browsing history and other information. Recommendation retrieval can solve the problem of unclear user search needs to a certain extent, but its realization requires the establishment of user portraits, the construction of recommendation algorithms and other technologies.

Clustered search.

Clustering retrieval refers to the system clustering and analyzing text information to classify similar text information, so that users can quickly find the information they need. Clustering retrieval can avoid the problem of inaccurate search results caused by inaccurate keyword matching, but its implementation needs to solve the problems of clustering algorithm and visualization of clustering results.

In summary, the types of information retrieval include keyword search, natural language search, semantic search, recommendation search, and cluster search. Different information retrieval methods are suitable for different scenarios and needs, and need to be selected according to the actual situation.

Information retrieval refers to the process and technology of organizing information in a certain way and finding out relevant information according to the needs of information users. Information retrieval in the narrow sense is the second half of the information retrieval process, that is, the process of finding the required information from the information collection, which is what we often call information search or information seeking. In general, information retrieval refers to information retrieval in a broad sense.

Information retrieval refers to the process of finding the required document from a collection of information resources or finding the information content contained in the required document.

Origin. Information retrieval originated from the library's reference reference and abstract indexing work, which first developed in the second half of the 19th century, and by the 40s of the 20th century, indexing and retrieval had become an independent tool and user service for the library. With the advent of the world's first electronic computer in 1946, computer technology gradually entered the field of information retrieval and was closely integrated with information retrieval theory. Offline batch intelligence retrieval system, online real-time information retrieval system.

Literature information retrieval.

From the 60s to the 80s of the 20th century, under the impetus of information processing technology, communication technology, computer and database technology, information retrieval has developed rapidly in various fields such as education, military and commerce, and has been widely used. The Dialog International Online Information Retrieval System is representative of the field of information retrieval during this period and is still one of the most famous systems in the world.

Information retrieval.

According to the object, it is mainly divided into: fact retrieval, data retrieval, literature retrieval, and the Chinese retrieval can be divided into book retrieval, journal retrieval, patent retrieval, standard retrieval, degree retrieval and ......

Fact retrieval refers to the search conducted by the user to determine the time, place and process of occurrence of an event or fact.

Data retrieval refers to the search conducted by users using certain search tools to find a certain deterministic numerical data. Its purpose is to find certain deterministic data, and this data is numerical.

Literature search is the process of finding relevant documents that meet specific needs from a large collection of documents. Literature retrieval is the core part of information retrieval, which is richer in content and more diverse in methods than the data retrieval and factual retrieval described below. According to the search content, it can be divided into bibliographic search and full-text search.

According to the object, it can be divided into book search, journal search, patent search, standard search, degree ** search ......