CN101477663A - Advertisement placement method based on rewarding type search - Google Patents
Advertisement placement method based on rewarding type search Download PDFInfo
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- CN101477663A CN101477663A CNA2008100322762A CN200810032276A CN101477663A CN 101477663 A CN101477663 A CN 101477663A CN A2008100322762 A CNA2008100322762 A CN A2008100322762A CN 200810032276 A CN200810032276 A CN 200810032276A CN 101477663 A CN101477663 A CN 101477663A
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- advertisement placement
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Abstract
The invention relates to a method for advertising on the internet or a mobile network. The method which is based on a search engine is characterized in that corresponding score values for each search operation are rewarded after a user logins so as to prompt the user to carry out search operations as a login user; and a system analyzes the demand of the user according to the search record of the user, and mixed-codes the optimal advertising information of the user in a search result or a continuous search result.
Description
Technical field
The present invention relates to a kind of on internet or mobile network the advertisement placement method based on search engine, it is characterized in that the search operation each time after user's login is awarded corresponding score value, impel the user to carry out search operation with the identity of login, system comes the demand of analysis user according to this user's searching record, optimum user's advertising message shuffling in the Search Results or in the lasting Search Results.
Background technology
The information that magnanimity is arranged on the network, the user more and more relies on search engine, but it is well-known, do not need to register to each search website search, this pattern is to have made things convenient for online friend's search speed, but also do not grasp user's real demand simultaneously, each time the search of its real user in a time period all has reference value to the search of next time, but this good advertising resource is not utilized.
Advertisement placement method based on rewarding type search, can impel the user to carry out search operation with the identity of login, the search operation each time of recording user, which type of information the nearly section time of analysis user needs, and in user's search operation the advertising message that is fit to is passed to the user.
Implementation method
Search operation each time to the user is awarded corresponding score value, impels the user to carry out search operation with the identity of login, with the key word of the inquiry of the each input of user and the information storage browsed at database, to analyze the nearest information requirement of this user.
Concrete steps are: after user's login, system can import this user in the previous time period key word of the inquiry and the information of browsing take out from lane database, the bar number of the number of times that repeats to import by distance and key word of the inquiry what and the information browse that searches with current login time what, come which type of information of the nearest needs of analysis user; If near more from current login time, the number of times that key word of the inquiry repeats to import is many more, and the bar number of the information browse that searches is many more, and both can regard as is that the user needs this type of information recently; Import this key word of the inquiry the user after, no matter this time whether information inquiring is relevant with the result that systematic analysis draws for the user, the relevant advertisements information of the user's needs that draw according to analysis all will be thrown in by system in the result of this search.
If far away more from current login, the number of times that information repeats to inquire about is few more, and the bar number of the information browse that searches is few more, both can assert that the user does not have the information that needs especially recently; Import this key word of the inquiry the user after, system will be not can be in this Search Results displaying advertising messages.
This searching method is provided with the function that continues search, both the user only need import the key word of one query, system can continue the information of search subscriber needs according to the key word of the inquiry of user's input at lane database, as long as one has the new info web that meets search condition to be stored into lane database, system can be presented at this information on user's the page at once, cancels until the user continuing search or having changed key word of the inquiry; If the user has used this lasting function of search, system can think that the user needs this type of information recently, will be in this lasting Search Results relevant ads information; The every operation of user once continues search can only once be awarded score value.
Embodiment
The viewer is at the enterprising line search of certain search website, login back system takes out key word of importing before him and the information that searches, find viewer's 3 times, [the People's Bank] 2 times of in the time in a week, searching for relevant [bank], and in the information that at every turn searches, opening a lot of webpages, this user of systematic analysis relatively needs the information of bank aspect in the recent period; What the user imported specifically is automobile search, and the information aspect the bank has been thrown in by system in Search Results, together be shown to the user and browse; System has increased the award score value and this search operation has been stored into lane database to the user.
Claims (8)
1, the present invention relates to a kind of on internet or mobile network the advertisement placement method based on search engine, it is characterized in that the search operation each time after user's login is awarded corresponding score value, system can come the demand of analysis user according to this user's searching record, optimum user's advertising message shuffling in the Search Results or in the lasting Search Results.
2, the advertisement placement method based on rewarding type search according to claim 1, it is characterized in that described user's recent information demand is by bar number how many relevant analyses of the number of times that repeats to import with the distance and the key word of the inquiry of current login time what and the information browse that searches.
3, according to the described advertisement placement method of claim 1-2, it is characterized in that based on rewarding type search, described user's recent information demand by with high more analysis of the near more degree of association of current login time.
According to the described advertisement placement method of claim 1-2, it is characterized in that 4, described user's recent information demand is by high more analysis of the many more degrees of association of number of times of repeating to import with key word of the inquiry based on rewarding type search.
5, according to the described advertisement placement method of claim 1-2, it is characterized in that based on rewarding type search, described user's recent information demand by with high more analysis of the many more degrees of association of bar number of the information browse that searches.
6, according to the described advertisement placement method of claim 1-2 based on rewarding type search, it is characterized in that, described system assert that the user needs this type of information recently, no matter whether user this time information inquiring relevant with the result that systematic analysis draws, system all will be in the result of this search relevant ads information.
7, the advertisement placement method based on rewarding type search according to claim 1 is characterized in that, the described function that continues search that is provided with.
8, the advertisement placement method based on rewarding type search according to claim 1 is characterized in that, describedly a kind ofly utilizes internet or mobile network as release carrier.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008100322762A CN101477663A (en) | 2008-01-04 | 2008-01-04 | Advertisement placement method based on rewarding type search |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008100322762A CN101477663A (en) | 2008-01-04 | 2008-01-04 | Advertisement placement method based on rewarding type search |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101477663A true CN101477663A (en) | 2009-07-08 |
Family
ID=40838371
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA2008100322762A Pending CN101477663A (en) | 2008-01-04 | 2008-01-04 | Advertisement placement method based on rewarding type search |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101477663A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103186571A (en) * | 2011-12-28 | 2013-07-03 | 腾讯科技（深圳）有限公司 | Method and device for displaying mobile media information in mobile search system |
| CN111259230A (en) * | 2018-12-03 | 2020-06-09 | 北京奇虎科技有限公司 | Search implementation method and server |
-
2008
- 2008-01-04 CN CNA2008100322762A patent/CN101477663A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103186571A (en) * | 2011-12-28 | 2013-07-03 | 腾讯科技（深圳）有限公司 | Method and device for displaying mobile media information in mobile search system |
| CN111259230A (en) * | 2018-12-03 | 2020-06-09 | 北京奇虎科技有限公司 | Search implementation method and server |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Open date: 20090708 |