Method and terminal for generating personal social contact homepage of game role

Abstract

The invention discloses a method and a terminal for generating a personal social homepage of a game role. The method comprises the following steps: acquiring social data and end side data of a user; training the social data and the end side data according to the social relationship between the user and the social homepage display object, and outputting a training result; the method comprises the following steps: acquiring a social relationship between a user and a social homepage display object, and training and extracting social data and end side data of the user according to the social relationship; and performing relationship grading on the user and the social contact homepage display object according to a training result, and generating a corresponding personal social contact homepage according to a relationship grading result. According to the relation grading result, the personal social homepage which is strongly correlated with the social homepage display object is generated, and the user experience is improved. Namely, the social homepage with relevance between the two is generated according to the identity of the person who checks the social homepage of the user, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the field of video games, and particularly to a method and a terminal for generating a personal social homepage of a game character. Background Art

[0002] In MMO games (Massively Multiplayer Online Games), there is a lot of interaction and socialization among players, and players are accustomed to viewing each other's personal homepages.

[0003] However, in the traditional mode, the homepages of all users are generally fixed and displayed according to preset content; in some games, the user social homepage is automatically generated according to the user's own recent dynamics, but there is a lack of association with the object displayed on the homepage, which cannot help the object displayed on the homepage quickly obtain the required information and reduces the user experience. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and a terminal for generating a personal social homepage of a game character, so as to solve the problem of weak association between the personal game homepage and the object displayed on the social homepage.

[0005] In order to solve the above technical problem, the technical solution adopted by the present invention is as follows:

[0006] A method for generating a personal social homepage of a game character includes the steps of:

[0007] S1. Obtain the social data and the terminal-side data of the user;

[0008] S2. Train the social data and the terminal-side data according to the social relationship between the user and the object displayed on the social homepage and output a training result;

[0009] S3. Grade the relationship between the user and the object displayed on the social homepage according to the training result, and generate a corresponding personal social homepage according to the result of the relationship grading.

[0010] In order to solve the above technical problem, another technical solution adopted by the present invention is as follows:

[0011] A terminal for generating a personal social homepage of a game character includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are completed:

[0012] S1. Obtain the social data and the terminal-side data of the user;

[0013] S2. Train the social data and the terminal-side data according to the social relationship between the user and the object displayed on the social homepage and output a training result;

[0014] S3. Grade the relationship between the user and the social homepage display object according to the training result, and generate a corresponding personal social homepage according to the result of the relationship grading.

[0015] The beneficial effects of the present invention are as follows: A method and a terminal for generating a personal social homepage of a game character are provided. By obtaining the social relationship between the user and the social homepage display object, and training and extracting the user's social data and terminal-side data according to the social relationship, finally, grade the relationship between the user and the social homepage display object according to the training result, so as to generate a personal social homepage with strong relevance to the social homepage display object according to the result of the relationship grading, that is, generate a social homepage with the relevance of the two according to the identity of the person viewing the user's social homepage, improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flowchart of a method for generating a personal social homepage of a game character in an embodiment of the present invention;

[0017] Figure 2 It is a schematic diagram of permission discrimination of a method for generating a personal social homepage of a game character in an embodiment of the present invention;

[0018] Figure 3 It is a schematic diagram of a terminal for generating a personal social homepage of a game character in an embodiment of the present invention.

[0019] Label Description:

[0020] 1. A terminal for generating a personal social homepage of a game character; 2. A memory; 3. A processor. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] To describe the technical content, the achieved objectives and the effects of the present invention in detail, the following is described in conjunction with the embodiments and with reference to the drawings.

[0022] Please refer to Figure 1 and Figure 2 , a method for generating a personal social homepage of a game character, including the steps of:

[0023] S1. Obtain the social data and terminal-side data of the user;

[0024] S2. Train the social data and the terminal-side data according to the social relationship between the user and the social homepage display object and output the training result;

[0025] S3. Grade the relationship between the user and the social homepage display object according to the training result, and generate a corresponding personal social homepage according to the result of the relationship grading.

[0026] As can be seen from the above description, the beneficial effects of the present invention are as follows: A method for generating a personal social homepage of a game character is provided. By obtaining the social relationship between the user and the object displayed on the social homepage, and training and extracting the user's social data and end-side data according to the social relationship, and finally grading the relationship between the user and the object displayed on the social homepage according to the training result, so as to generate a personal social homepage with strong relevance to the object displayed on the social homepage according to the result of the relationship grading, that is, generating a social homepage with the relevance of the two according to the identity of the person viewing the user's social homepage, thereby enhancing the user experience.

[0027] It should be noted that training the social data and end-side data and generating the homepage usually adopt artificial intelligence algorithms, which generally include steps such as preprocessing, standardizing, and cleaning the data. At the same time, as Figure 2 shown, in order to protect user privacy, in the embodiments of the present invention, only when both the user and the object displayed on the social homepage agree to open the permission to the terminal of the personal social homepage for generating game characters, will the above-mentioned strongly relevant personal social homepage be generated.

[0028] In some embodiments of the present invention, the step S2 is specifically as follows:

[0029] S21. Obtain the social relationship between the user and the object displayed on the social homepage. If the user and the object displayed on the social homepage are friends in the game, go to step S22; otherwise, go to step S23;

[0030] S22. Determine the relationship and generate a relationship label according to the social data of the user and the object displayed on the social homepage, and train the social data and the end-side data according to the relationship label and output the training result;

[0031] S23. Extract the feature labels of the end-side data of the user and the object displayed on the social homepage, and train the end-side data according to the similarity ranking of the feature labels and output the training result.

[0032] As can be seen from the above description, in order to match the relationship between the user and the object displayed on the social homepage and generate a suitable personal social homepage, in this example, the social relationship between the user and the object displayed on the social homepage in the game data is called. If the two are friends, the social data and end-side data of the two are coordinated for training; otherwise, if the two are not friends, only the feature labels of the end-side data of the two are extracted, and the end-side data is trained according to the label similarity ranking.

[0033] Specifically, assume that the user and the social homepage display object are in a romantic relationship (friend relationship) in the game. Then, based on the social data and the client-side data, the names of the two will be displayed on the user's social homepage, and corresponding homepages will be generated according to the intimacy level of the names. For example, the names extracted from the social data are partner / lover / baby, etc., and each name corresponds to a different social homepage. Assume that the user and the social homepage display object only have a trading relationship (non-friend relationship) in the game. Then, the characteristic tags on the client side of the two are respectively extracted, and the characteristic tags with high similarity are extracted, such as exchange tycoon / professional seller / weapon forging master, etc., and the corresponding tags and the social homepages corresponding to the tags are displayed on the user's homepage.

[0034] In some embodiments of the present invention, the step S22 further includes:

[0035] Extract the relevant data that conforms to the relationship tag from the social data and the client-side data, and respectively perform tag extraction on the relevant data according to a preset classification.

[0036] As can be seen from the above description, due to the large amount of social data and client-side data, in order to reduce the pressure on the terminal, after the relationship tag of the user and the social homepage display object is determined in the above steps, relevant data is extracted according to the relationship tag; specifically, tags are extracted respectively according to a preset classification. In the embodiments of the present invention, the preset classification includes name, emotion word, attitude, interest, and value. For example, if the relationship tag between the two is a couple, the tags extracted according to the preset classification are respectively: name - lover, emotion word - humorous, attitude - sincere, interest - basically the same, value - recognition.

[0037] In some embodiments of the present invention, the step S3 is specifically:

[0038] S31. Extract the tags in each of the preset classifications and perform preliminary grading according to a preset rule;

[0039] S32. Synthesize the results of all the preliminary gradings, grade the relationship between the user and the social homepage display object, and generate a corresponding personal social homepage according to the result of the relationship grading.

[0040] As can be seen from the above description, a variety of corresponding tags are extracted according to the preset classification. In order to quickly process the tags, the tags under the preset classification are respectively preliminarily graded. Subsequently, according to the results of the preliminary grading of each preset classification, the final relationship grading of the user and the social homepage display object is performed, and the relationship between the user and the social homepage display object is refined and identified to avoid generating social homepages with weak or overly strong relevance.

[0041] Specifically, examples of the preset rules for the preliminary grading of the preset classification are as follows:

[0042] Assume that the relationship label between the user and the social homepage display object is "couple", and the corresponding preset rules for the couple relationship are as follows:

[0043] (1) The preliminary grading rules for the address are as follows: If the highest repetition degree of the extracted relevant labels falls into the following certain level range, then its corresponding level is determined. For example, "baby" - intermediate level.

[0044] Elementary level: game ID, online name, name, you, he, she, etc.;

[0045] Intermediate level: nickname, pet name, baby, dear, husband, wife, etc.;

[0046] Advanced level: lover, sweetheart, honey, baby, grandpa, grandma, etc.;

[0047] Extremely advanced level: kiss, lips, hug, dear little cute, my little angel, my little devil, etc.

[0048] (2) Similarly, if the highest repetition degree of the labels extracted from the emotion words is "romantic", then it corresponds to the advanced level.

[0049] Elementary level: polite, courteous, plain, normal, boring, cold, etc.;

[0050] Intermediate level: relaxed, happy, cheerful, humorous, naughty, ambiguous, etc.;

[0051] Advanced level: affectionate, sincere, gentle, romantic, sweet, warm, etc.;

[0052] Extremely advanced level: passionate, enthusiastic, hot, crazy, magical, wonderful, etc.

[0053] Please refer to Figure 3 , a terminal 1 for generating a personal social homepage of a game character, including a memory 2, a processor 3, and a computer program stored on the memory 2 and executable on the processor 3. When the processor 3 executes the computer program, the following steps are completed:

[0054] S1. Obtain the social data and terminal-side data of the user;

[0055] S2. Train the social data and the terminal-side data according to the social relationship between the user and the social homepage display object and output the training result;

[0056] S3. Grade the relationship between the user and the social homepage display object according to the training result, and generate a corresponding personal social homepage according to the result of the relationship grading.

[0057] As can be seen from the above description, an execution carrier for a method of generating a personal social homepage for a game character, when performing the above steps, obtains the social relationship between the user and the social homepage display object, trains and extracts the user's social data and terminal-side data according to the social relationship, and finally grades the relationship between the user and the social homepage display object according to the training result, so as to generate a personal social homepage with strong relevance to the social homepage display object based on the result of the relationship grading, that is, generate a social homepage with the relevance of both according to the identity of the person viewing the user's social homepage, improving the user experience.

[0058] The present invention provides a method and a terminal for generating a personal social homepage for a game character, which are mainly applied to generate a social homepage with the relevance between the user and the social homepage display object in an electronic game. Specific descriptions will be given below in conjunction with embodiments.

[0059] Please refer to Figures 1 to 2 , Embodiment 1 of the present invention is: A method for generating a personal social homepage for a game character, including the steps of:

[0060] S1. Obtain the user's social data and terminal-side data;

[0061] S2. Train the social data and terminal-side data according to the social relationship between the user and the social homepage display object and output a training result; that is, obtain the social relationship between the user and the social homepage display object, and train and extract the user's social data and terminal-side data according to the social relationship;

[0062] S3. Grade the relationship between the user and the social homepage display object according to the training result, and generate a corresponding personal social homepage according to the result of the relationship grading. That is, generate a personal social homepage with strong relevance to the social homepage display object based on the result of the relationship grading, improving the user experience.

[0063] Please refer to Figures 1 to 2 , Embodiment 2 of the present invention is: On the basis of Embodiment 1, step S2 is specifically:

[0064] S21. Obtain the social relationship between the user and the social homepage display object. If the user and the social homepage display object are friends in the game, enter step S22; otherwise, enter step S23;

[0065] S22. Determine the relationship and generate a relationship label according to the social data of the user and the social homepage display object, and train the social data and terminal-side data according to the relationship label and output a training result;

[0066] S23. Extract feature labels from the terminal-side data of the user and the social homepage display object, and train the terminal-side data according to the similarity ranking of the feature labels and output a training result.

[0067] That is, in order to match the relationship between the user and the social homepage display object and generate a suitable personal social homepage, in this example, by calling the social relationship between the user and the social homepage display object in the game data, if the two are friends, the social data and the terminal-side data of the two are coordinated for training; otherwise, the two are non-friends, and only the terminal-side data of the two is used for feature label extraction, and the terminal-side data is trained according to the label similarity ranking.

[0068] Specifically, assume that the user and the social homepage display object are in a romantic relationship (friend relationship) in the game. Then, through social data and terminal-side data, the names of the two will be displayed on the user's social homepage, and corresponding homepages will be generated according to the intimacy of the names. For example, the names extracted through social data are partner / lover / baby, etc., and each name corresponds to a different social homepage. Assume that the user and the social homepage display object only have a trading relationship (non-friend relationship) in the game. Then, the feature labels on the terminal sides of the two are respectively extracted, and the feature labels with high similarity are extracted, such as exchange tycoon / professional seller / weapon forging master, etc., and the corresponding labels and the social homepages corresponding to the labels are displayed on the user's homepage.

[0069] Preferably, step S22 further includes: extracting the relevant data that conforms to the relationship label in the social data and the terminal-side data, and respectively performing label extraction on the relevant data according to a preset classification.

[0070] That is, in this example, due to the large amount of social data and terminal-side data, in order to reduce the pressure on the terminal, after the relationship label between the user and the social homepage display object is determined in the above steps, the relevant data is extracted according to the relationship label; specifically, the labels are respectively extracted according to a preset classification. In the embodiments of the present invention, the preset classification includes name, emotion word, attitude, interest, and value. For example, if the relationship label between the two is a couple, the labels extracted according to the preset classification are respectively: name - lover, emotion word - humorous, attitude - sincere, interest - basically the same, value - recognition.

[0071] Please refer to Figures 1 to 2 , Embodiment 3 of the present invention is: on the basis of Embodiment 2, step S3 is specifically:

[0072] S31. Extract the labels in each preset classification and perform preliminary grading according to a preset rule;

[0073] S32. Synthesize the results of all preliminary gradings, perform relationship grading on the user and the social homepage display object, and generate a corresponding personal social homepage according to the result of the relationship grading.

[0074] That is, a variety of corresponding tags are extracted according to the preset classification types. To quickly process the tags, the tags under each preset classification type are initially rated. Subsequently, based on the initial rating results of each preset classification type, the final relationship rating between the user and the social homepage display object is determined, finely identifying the relationship between the user and the social homepage display object, and avoiding generating social homepages with relatively weak or overly strong relevance.

[0075] Specifically, assuming that the relationship tag between the user and the social homepage display object is "couple", the preset rules for the initial rating of the preset classification type are as follows:

[0076] The preset classification types include address, emotion words, attitude, interests, and values. Each preset classification type divides the tags into four levels to judge the emotional degree between couples. The levels are: primary, intermediate, advanced, and extremely advanced. The corresponding relationship between the preset classification types and the preset rules is as follows:

[0077] (1) Address: Address refers to the way game couples address each other in chat, such as nicknames, real names, intimate words, etc. The algorithm judges the intimacy between couples, as well as their sense of identity and belonging, by analyzing the changes, frequencies, meanings, etc. of the addresses. Generally speaking, the more intimate the address, the better the emotional situation. For example, the following are some examples of address methods, from primary to extremely advanced:

[0078] Primary: Game ID, online name, name, you, he, she, etc.;

[0079] Intermediate: Nickname, pet name, baby, dear, husband, wife, etc.;

[0080] Advanced: Lover, sweetheart, honey, baby, grandpa, grandma, etc.;

[0081] Extremely advanced: Kiss, lips, hug, dear little cute, my little angel, my little devil, etc.

[0082] (2) Emotion words: Emotion refers to the emotions such as joy, anger, sorrow, and happiness expressed by game couples in chat, as well as feelings such as love, admiration, and dependence on each other. The algorithm judges the emotional state of couples and their emotional interaction by analyzing the tone, words, expressions, symbols, etc. in the chat content. Generally speaking, the stronger the emotion, the better the emotional situation. For example, the following are some examples of emotion expression methods, from primary to extremely advanced:

[0083] Primary: Polite, formal, plain, normal, boring, cold, etc.;

[0084] Intermediate: Relaxed, happy, cheerful, humorous, naughty, ambiguous, etc.;

[0085] Advanced: Deep, sincere, gentle, romantic, sweet, warm, etc.;

[0086] Extremely high level: Passionate, enthusiastic, fiery, crazy, magical, wonderful, etc.

[0087] (3) Attitude: Attitude refers to the respect, trust, understanding, support, etc. shown by game couples towards each other in chat, as well as their responses to suggestions, criticism, praise, encouragement, etc. from the other party. The algorithm judges the attitude level of the couple and the attitude coordination between them by observing politeness, sincerity, frankness, tolerance, etc. in the chat content. Generally speaking, the more positive the attitude, the better the relationship. For example, the following are some examples of attitude manifestations, from primary to extremely high level:

[0088] Primary level: Respectful, polite, courteous, normal, indifferent, cold, etc.;

[0089] Intermediate level: Trusting, sincere, frank, relaxed, happy, cheerful, etc.;

[0090] Advanced level: Understanding, supportive, inclusive, encouraging, praising, appreciating, etc.;

[0091] Extremely high level: Listening, accompanying, hugging, kissing, loving, cherishing, etc.

[0092] (4) Interest: Interest refers to the interest, curiosity, attention, etc. shown by game couples towards each other in chat, as well as their understanding and participation in aspects such as the other party's games, hobbies, and life. The algorithm judges the interest level of the couple and the interest fit between them by analyzing topics, questions, answers, shares, etc. in the chat content. Generally speaking, the more interest, the better the relationship. For example, the following are some examples of interest manifestations, from primary to extremely high level:

[0093] Primary level: Game-related, common sense, insignificant, boring, awkward silence, etc.;

[0094] Intermediate level: Personal-related, preference-based, interesting, humorous, playful, etc.;

[0095] Advanced level: Emotion-related, in-depth, sincere, warm, sweet, etc.;

[0096] Extremely high level: Creativity-related, diversity, surprise, magical, wonderful, etc.

[0097] (5) Values: Values refer to the recognition and respect shown by game couples towards each other's values, viewpoints, beliefs, ideals, etc., as well as the discussion and exchange of each other's values, viewpoints, beliefs, ideals, etc. The algorithm judges the values level of the couple and the values consistency between them by analyzing viewpoints, arguments, refutations, compromises, etc. in the chat content. Generally speaking, the more similar the values, the better the relationship. For example, the following are some examples of value manifestations, from primary to extremely high level:

[0098] Primary level: Irrelevance, difference, conflict, dispute, misunderstanding, disrespect, etc.;

[0099] Intermediate level: Understanding, respect, acceptance, tolerance, compromise, coordination, etc.;

[0100] Advanced level: Identification, approval, support, encouragement, appreciation, praise, etc.;

[0101] Ultra - advanced level: Sharing, co - creation, win - win, progress together, share hardships, share joys, etc.

[0102] Subsequently, based on the preliminary rating of the above - mentioned chat content, the relationship rating of the two is carried out, and then sampling is conducted for verification.

[0103] After the verification is completed, the corresponding couple's homepage (including combinations of dynamic text, pictures, animations, special effects, etc.) is matched

[0104] Please refer to 3. Embodiment 4 of the present invention is: A terminal 1 for generating a personal social homepage of a game character, including a memory 2, a processor 3, and a computer program stored on the memory 2 and operable on the processor 3. When the processor 3 executes the computer program, it completes the steps in any one of the methods for generating a personal social homepage of a game character in Embodiment 1 of the fourth aspect.

[0105] In summary, the method and terminal for generating a personal social homepage of a game character provided by the present invention obtain the social relationship between the user and the object displayed on the social homepage, and train and extract the user's social data and terminal - side data according to the social relationship. Finally, the relationship between the user and the object displayed on the social homepage is rated based on the training result, so as to generate a personal social homepage with strong relevance to the object displayed on the social homepage according to the result of the relationship rating, that is, generate a social homepage with the relevance of the two according to the identity of the person viewing the user's social homepage, thereby improving the user experience.

[0106] The above are only embodiments of the present invention, and do not limit the patent scope of the present invention. All equivalent transformations made using the content of the specification and drawings of the present invention, or directly or indirectly applied in related technical fields, are equally included in the patent protection scope of the present invention.

Claims

1. A method for generating a personal social homepage of a game character, characterized in that: It includes the steps: S1. Obtain the social data and end-side data of the user; S2. Train the social data and the end-side data according to the social relationship between the user and the display object of the social homepage and output the training result; S3. Grade the relationship between the user and the display object of the social homepage according to the training result, and generate the corresponding personal social homepage according to the result of the relationship grading.

2. The method for generating a personal social homepage of a game character according to claim 1, characterized in that: The specific step S2 is: S21. Obtain the social relationship between the user and the display object of the social homepage. If the user and the display object of the social homepage are friends in the game, go to step S22; Otherwise, go to step S23; S22. Conduct relationship determination on the social data of the user and the display object of the social homepage and generate relationship labels, and train the social data and the end-side data according to the relationship labels and output the training result; S23. Extract the feature labels of the end-side data of the user and the display object of the social homepage, and train the end-side data according to the similarity ranking of the feature labels and output the training result.

3. The method for generating a personal social homepage of a game character according to claim 2, characterized in that: The step S22 further includes: Extract the relevant data that conforms to the relationship label in the social data and the end-side data, and respectively extract labels for the relevant data according to the preset classification.

4. The method for generating a personal social homepage of a game character according to claim 3, characterized in that: The specific step S3 is: S31. Extract the labels in each of the preset classifications and conduct preliminary grading according to the preset rules; S32. Synthesize the results of all the preliminary gradings, grade the relationship between the user and the display object of the social homepage, and generate the corresponding personal social homepage according to the result of the relationship grading.

5. The method for generating a personal social homepage of a game character according to claim 3 or 4, characterized in that: The preset classification includes at least one of address, emotion words, attitude, interest and values.

6. A terminal for generating a personal social homepage of a game character, characterized in that: It includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are completed: S1. Obtain the social data and end-side data of the user; S2. Train the social data and the end-side data according to the social relationship between the user and the display object of the social homepage and output the training result; S3. Grade the relationship between the user and the display object of the social homepage according to the training result, and generate the corresponding personal social homepage according to the result of the relationship grading.

7. The terminal for generating a personal social homepage of a game character according to claim 6, characterized in that: The specific step S2 is: S21. Obtain the social relationship between the user and the display object of the social homepage. If the user and the display object of the social homepage are friends in the game, go to step S22; Otherwise, proceed to step S23; S22. Determine the relationship based on the social data of the user and the social home page display object, generate relationship tags, and train the social data and the edge-side data according to the relationship tags and output the training results; S23. Extract feature tags from the edge-side data of the user and the social home page display object, and train the edge-side data according to the similarity ranking of the feature tags and output the training results.

8. A terminal for generating a personal social home page of a game character according to claim 7, wherein: The step S22 further includes: Extracting the relevant data that conforms to the relationship tags from the social data and the edge-side data, and respectively extracting tags for the relevant data according to a preset classification.

9. A terminal for generating a personal social home page of a game character according to claim 8, wherein: The step S3 is specifically: S31. Extract the tags in each of the preset classifications and perform a preliminary grading according to a preset rule; S32. Synthesize the results of all the preliminary gradings, perform a relationship grading on the user and the social home page display object, and generate a corresponding personal social home page according to the result of the relationship grading.

10. A terminal for generating a personal social home page of a game character according to claim 8 or 9, wherein: The preset classification includes at least one of address, emotion word, attitude, interest, and value.

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